Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Semi-supervised support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Learning from Labeled and Unlabeled Data using Graph Mincuts
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Everything old is new again: a fresh look at historical approaches in machine learning
Everything old is new again: a fresh look at historical approaches in machine learning
Problems of learning on manifolds
Problems of learning on manifolds
Beyond the point cloud: from transductive to semi-supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Continuous nonlinear dimensionality reduction by kernel eigenmaps
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Semi-Supervised Learning
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
From graphs to manifolds – weak and strong pointwise consistency of graph laplacians
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Learning to compress images and videos
Proceedings of the 24th international conference on Machine learning
Kernel selection forl semi-supervised kernel machines
Proceedings of the 24th international conference on Machine learning
Regression on manifolds using kernel dimension reduction
Proceedings of the 24th international conference on Machine learning
Least squares linear discriminant analysis
Proceedings of the 24th international conference on Machine learning
Regularized clustering for documents
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Laplacian optimal design for image retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Structure-sensitive manifold ranking for video concept detection
Proceedings of the 15th international conference on Multimedia
Label Propagation through Linear Neighborhoods
IEEE Transactions on Knowledge and Data Engineering
Learning to rank relational objects and its application to web search
Proceedings of the 17th international conference on World Wide Web
A unified framework for semi-supervised dimensionality reduction
Pattern Recognition
Relevance aggregation projections for image retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Large scale manifold transduction
Proceedings of the 25th international conference on Machine learning
Pairwise constraint propagation by semidefinite programming for semi-supervised classification
Proceedings of the 25th international conference on Machine learning
An RKHS for multi-view learning and manifold co-regularization
Proceedings of the 25th international conference on Machine learning
A least squares formulation for canonical correlation analysis
Proceedings of the 25th international conference on Machine learning
Graph transduction via alternating minimization
Proceedings of the 25th international conference on Machine learning
Deep learning via semi-supervised embedding
Proceedings of the 25th international conference on Machine learning
Learning query intent from regularized click graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Online Manifold Regularization: A New Learning Setting and Empirical Study
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Large-Scale Clustering through Functional Embedding
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Semi-supervised Discriminant Analysis Via CCCP
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Exploiting Cluster-Structure to Predict the Labeling of a Graph
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Classifying networked entities with modularity kernels
Proceedings of the 17th ACM conference on Information and knowledge management
Modeling hidden topics on document manifold
Proceedings of the 17th ACM conference on Information and knowledge management
Transductive multi-label learning for video concept detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
View-Invariant Pose Recognition Using Multilinear Analysis and the Universum
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Graph-based tools for microscopic cellular image segmentation
Pattern Recognition
Semi-supervised Learning of Caricature Pattern from Manifold Regularization
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Incorporating prior model into Gaussian processes regression for WEDM process modeling
Expert Systems with Applications: An International Journal
Error bounds of multi-graph regularized semi-supervised classification
Information Sciences: an International Journal
Latent space domain transfer between high dimensional overlapping distributions
Proceedings of the 18th international conference on World wide web
Probabilistic dyadic data analysis with local and global consistency
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Domain adaptation from multiple sources via auxiliary classifiers
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Semi-supervised learning using label mean
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A least squares formulation for a class of generalized eigenvalue problems in machine learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Robust feature extraction via information theoretic learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Learning instance specific distances using metric propagation
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Prototype vector machine for large scale semi-supervised learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Extracting discriminative concepts for domain adaptation in text mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Cross domain distribution adaptation via kernel mapping
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding representative landmarks of data on manifolds
Pattern Recognition
Semi-supervised orthogonal discriminant analysis via label propagation
Pattern Recognition
Multi-output regression on the output manifold
Pattern Recognition
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Human Age Estimation by Metric Learning for Regression Problems
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Simulated Iterative Classification A New Learning Procedure for Graph Labeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
New Regularized Algorithms for Transductive Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Subspace Regularization: A New Semi-supervised Learning Method
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Semi-Supervised Multi-Task Regression
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Transductive Classification via Dual Regularization
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Transfer learning via dimensionality reduction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
On discriminative semi-supervised classification
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Semi-supervised classification using local and global regularization
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Classification by discriminative regularization
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Transferring localization models across space
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Keepin' it real: semi-supervised learning with realistic tuning
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
Semi-supervised Gaussian process classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Proximate sensing using georeferenced community contributed photo collections
Proceedings of the 2009 International Workshop on Location Based Social Networks
Convex experimental design using manifold structure for image retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Semi-supervised topic modeling for image annotation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Large margin transductive transfer learning
Proceedings of the 18th ACM conference on Information and knowledge management
Efficient multi-class unlabeled constrained semi-supervised SVM
Proceedings of the 18th ACM conference on Information and knowledge management
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semi-supervised bilinear subspace learning
IEEE Transactions on Image Processing
Robust label propagation on multiple networks
IEEE Transactions on Neural Networks
Locality preserving nonnegative matrix factorization
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Semi-supervised classification on evolutionary data
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Spectral kernel learning for semi-supervised classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Preference learning with extreme examples
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Knowledge transfer on hybrid graph
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Discriminative semi-supervised feature selection via manifold regularization
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
New Labeling Strategy for Semi-supervised Document Categorization
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Some new directions in graph-based semi-supervised learning
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Sparsity preserving discriminant analysis for single training image face recognition
Pattern Recognition Letters
Semisupervised multicategory classification with imperfect model
IEEE Transactions on Neural Networks
Discriminative orthogonal neighborhood-preserving projections for classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Boosting with pairwise constraints
Neurocomputing
Interactive image segmentation using probabilistic hypergraphs
Pattern Recognition
Entropy controlled Laplacian regularization for least square regression
Signal Processing
Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Transductive learning for spatial regression with co-training
Proceedings of the 2010 ACM Symposium on Applied Computing
Learning with click graph for query intent classification
ACM Transactions on Information Systems (TOIS)
On minimum class locality preserving variance support vector machine
Pattern Recognition
Semi-supervised learning with varifold Laplacians
Neurocomputing
A general learning framework using local and global regularization
Pattern Recognition
Learning an intrinsic-variable preserving manifold for dynamic visual tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Laplacian regularized D-optimal design for active learning and its application to image retrieval
IEEE Transactions on Image Processing
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
Neural Processing Letters
Sparse approximation through boosting for learning large scale kernel machines
IEEE Transactions on Neural Networks
Discriminative topic modeling based on manifold learning
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Semi-supervised learning based on high density region estimation
Neural Networks
Semi-supervised sequence classification using abstraction augmented Markov models
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Feature selection in the Laplacian support vector machine
Computational Statistics & Data Analysis
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction
IEEE Transactions on Image Processing
A graph-based semi-supervised learning for question semantic labeling
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
Improved natural language learning via variance-regularization support vector machines
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
How about utilizing ordinal information from the distribution of unlabeled data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Content-aware resolution sequence mining for ticket routing
BPM'10 Proceedings of the 8th international conference on Business process management
Semi-supervised learning of sparse linear models in mass spectral imaging
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Predictive distribution matching SVM for multi-domain learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Graph regularized transductive classification on heterogeneous information networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Robust semi-supervised learning for biometrics
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Multi class semi-supervised classification with graph construction based on adaptive metric learning
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Semi-supervised projection clustering with transferred centroid regularization
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Distribution-dependent PAC-bayes priors
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
Co-transduction for shape retrieval
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A misleading attack against semi-supervised learning for intrusion detection
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
MMS entertainment system based on mobile phone
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Hessian optimal design for image retrieval
Pattern Recognition
Defining, contouring, and visualizing scalar functions on point-sampled surfaces
Computer-Aided Design
An effective approach to pose invariant 3D face recognition
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Sparse Semi-supervised Learning Using Conjugate Functions
The Journal of Machine Learning Research
Sparse regularization for semi-supervised classification
Pattern Recognition
Spectral clustering with more than K eigenvectors
Neurocomputing
Neighborhood preserving regression for image retrieval
Neurocomputing
An effective procedure exploiting unlabeled data to build monitoring system
Expert Systems with Applications: An International Journal
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
Nonlinear dimensionality reduction using a temporal coherence principle
Information Sciences: an International Journal
Software defect detection with rocus
Journal of Computer Science and Technology
Locally regressive G-optimal design for image retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Help-Training for semi-supervised support vector machines
Pattern Recognition
Support Vector Machine incorporated with feature discrimination
Expert Systems with Applications: An International Journal
Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization
Neural Processing Letters
A transductive multi-label learning approach for video concept detection
Pattern Recognition
Semi-supervised kernel canonical correlation analysis with application to human fMRI
Pattern Recognition Letters
Graph transduction as a non-cooperative game
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Learning search tasks in queries and web pages via graph regularization
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Multi-source domain adaptation and its application to early detection of fatigue
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Laplacian Support Vector Machines Trained in the Primal
The Journal of Machine Learning Research
Domain selection and adaptation in smart homes
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Graph-based representations of point clouds
Graphical Models
Locally discriminative topic modeling
Pattern Recognition
Manifold coarse graining for online semi-supervised learning
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Semi-supervised multiclass Kernel machines with probabilistic constraints
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
The relevance voxel machine (RVoxM): A Bayesian method for image-based prediction
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Predicting clinical scores using semi-supervised multimodal relevance vector regression
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
The machine learning and traveling repairman problem
ADT'11 Proceedings of the Second international conference on Algorithmic decision theory
Semi-supervised classification based on random subspace dimensionality reduction
Pattern Recognition
Semi-supervised learning to rank with preference regularization
Proceedings of the 20th ACM international conference on Information and knowledge management
Can irrelevant data help semi-supervised learning, why and how?
Proceedings of the 20th ACM international conference on Information and knowledge management
Towards feature selection in network
Proceedings of the 20th ACM international conference on Information and knowledge management
Classification and annotation in social corpora using multiple relations
Proceedings of the 20th ACM international conference on Information and knowledge management
Expert Systems with Applications: An International Journal
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Exploiting the entire feature space with sparsity for automatic image annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Laplacian adaptive context-based SVM for video concept detection
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
Discriminative Topic Modeling Based on Manifold Learning
ACM Transactions on Knowledge Discovery from Data (TKDD)
Regularized semi-supervised classification on manifold
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Journal of Computational and Applied Mathematics
Leave-one-out manifold regularization
Expert Systems with Applications: An International Journal
Sample-based software defect prediction with active and semi-supervised learning
Automated Software Engineering
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
Spectral clustering with discriminant cuts
Knowledge-Based Systems
Simultaneous clustering and classification over cluster structure representation
Pattern Recognition
Graph dual regularization non-negative matrix factorization for co-clustering
Pattern Recognition
Subclass-Oriented dimension reduction with constraint transformation and manifold regularization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Leave-One-Out cross-validation based model selection for manifold regularization
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Graph transduction as a noncooperative game
Neural Computation
Semi-supervised ensemble classification in subspaces
Applied Soft Computing
Multiview Metric Learning with Global Consistency and Local Smoothness
ACM Transactions on Intelligent Systems and Technology (TIST)
Transfer Metric Learning with Semi-Supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST)
Transfer regression model for indoor 3d location estimation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Multi-view laplacian support vector machines
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
User graph regularized pairwise matrix factorization for item recommendation
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Understanding city dynamics by manifold learning correlation analysis
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Manifold-Regularized minimax probability machine
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
l1-Graph based community detection in online social networks
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
On minimum distribution discrepancy support vector machine for domain adaptation
Pattern Recognition
On trivial solution and scale transfer problems in graph regularized NMF
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Heterogeneous domain adaptation using manifold alignment
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Jointly learning data-dependent label and locality-preserving projections
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Semi-supervised learning with mixed knowledge information
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Transductive multi-label ensemble classification for protein function prediction
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Confidence-aware graph regularization with heterogeneous pairwise features
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
An evaluation on different graphs for semi-supervised learning
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Self-taught dimensionality reduction on the high-dimensional small-sized data
Pattern Recognition
Template based shape descriptor
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Multisource domain adaptation and its application to early detection of fatigue
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification
Neural Processing Letters
Linear semi-supervised projection clustering by transferred centroid regularization
Journal of Intelligent Information Systems
Manifold-based canonical correlation analysis for wireless sensor network localization
Wireless Communications & Mobile Computing
A weakly supervised model for sentence-level semantic orientation analysis with multiple experts
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Topic evolution prediction of user generated contents considering enterprise generated contents
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
Semi-supervised multi-instance multi-label learning for video annotation task
Proceedings of the 20th ACM international conference on Multimedia
A regularization framework in polar coordinates for transductive learning in networked data
Information Sciences: an International Journal
Information Sciences: an International Journal
CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Proceedings of the 21st ACM international conference on Information and knowledge management
A unified learning framework for auto face annotation by mining web facial images
Proceedings of the 21st ACM international conference on Information and knowledge management
Relational co-clustering via manifold ensemble learning
Proceedings of the 21st ACM international conference on Information and knowledge management
Semantic context learning with large-scale weakly-labeled image set
Proceedings of the 21st ACM international conference on Information and knowledge management
A link-analysis-based discriminant analysis for exploring partially labeled graphs
Pattern Recognition Letters
Analysis of presence-only data via semi-supervised learning approaches
Computational Statistics & Data Analysis
Efficient similarity derived from kernel-based transition probability
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Domain transfer learning for MCI conversion prediction
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Measuring image distances via embedding in a semantic manifold
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Transductive cost-sensitive lung cancer image classification
Applied Intelligence
Accelerated max-margin multiple kernel learning
Applied Intelligence
Image annotation by semi-supervised cross-domain learning with group sparsity
Journal of Visual Communication and Image Representation
Tighter PAC-Bayes bounds through distribution-dependent priors
Theoretical Computer Science
Three-fold structured classifier design based on matrix pattern
Pattern Recognition
A competitive model for semi-supervised discriminant analysis
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Multi-resolutive sparse approximations of d-dimensional data
Computer Vision and Image Understanding
Information Sciences: an International Journal
Effective transfer tagging from image to video
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Sparse hashing for fast multimedia search
ACM Transactions on Information Systems (TOIS)
Unsupervised non-parametric kernel learning algorithm
Knowledge-Based Systems
Semi-supervised learning with nuclear norm regularization
Pattern Recognition
Optimal operator space pursuit: a framework for video sequence data analysis
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Learning to name faces: a multimodal learning scheme for search-based face annotation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning a subspace for clustering via pattern shrinking
Information Processing and Management: an International Journal
Collaborative boosting for activity classification in microblogs
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Annotation propagation in image databases using similarity graphs
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Facial expression recognition based on Hessian regularized support vector machine
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Semi-supervised image classification based on sparse coding spatial pyramid matching
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Information Sciences: an International Journal
Statistical shape model for manifold regularization: Gleason grading of prostate histology
Computer Vision and Image Understanding
Robust image annotation via simultaneous feature and sample outlier pursuit
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Semi-supervised learning using greedy max-cut
The Journal of Machine Learning Research
Manifold regularization and semi-supervised learning: some theoretical analyses
The Journal of Machine Learning Research
Robust spectral regression for face recognition
Neurocomputing
Neighborhood Correlation Analysis for Semi-paired Two-View Data
Neural Processing Letters
A multiresolution descriptor for deformable 3D shape retrieval
The Visual Computer: International Journal of Computer Graphics
Total variation regularization for training of indoor location fingerprints
Proceedings of the 2nd ACM annual international workshop on Mission-oriented wireless sensor networking
A second order cone programming approach for semi-supervised learning
Pattern Recognition
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
Semi-supervised object recognition based on Connected Image Transformations
Expert Systems with Applications: An International Journal
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Semi-supervised kernel minimum squared error based on manifold structure
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Training Lp norm multiple kernel learning in the primal
Neural Networks
Journal of Biomedical Informatics
A multi-manifold semi-supervised Gaussian mixture model for pattern classification
Pattern Recognition Letters
Efficient kernel learning from side information using ADMM
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Thinking of images as what they are: compound matrix regression for image classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Adaptive loss minimization for semi-supervised elastic embedding
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Semi-supervised learning with manifold fitted graphs
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Accurate probability calibration for multiple classifiers
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-view classification with cross-view must-link and cannot-link side information
Knowledge-Based Systems
Learning latent representations of nodes for classifying in heterogeneous social networks
Proceedings of the 7th ACM international conference on Web search and data mining
Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation
Expert Systems with Applications: An International Journal
Geometrical and computational aspects of Spectral Support Estimation for novelty detection
Pattern Recognition Letters
Protein Function Prediction using Multi-label Ensemble Classification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Pattern classification and clustering: A review of partially supervised learning approaches
Pattern Recognition Letters
Boosting for multiclass semi-supervised learning
Pattern Recognition Letters
Laplacian minimax probability machine
Pattern Recognition Letters
Double linear regressions for single labeled image per person face recognition
Pattern Recognition
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
Sparse semi-supervised learning on low-rank kernel
Neurocomputing
Semi-supervised learning via sparse model
Neurocomputing
Single network relational transductive learning
Journal of Artificial Intelligence Research
Editor's Choice Article: Sparse feature selection based on graph Laplacian for web image annotation
Image and Vision Computing
Detecting network communities using regularized spectral clustering algorithm
Artificial Intelligence Review
Soft label based Linear Discriminant Analysis for image recognition and retrieval
Computer Vision and Image Understanding
Hi-index | 0.01 |
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised framework that incorporates labeled and unlabeled data in a general-purpose learner. Some transductive graph learning algorithms and standard methods including support vector machines and regularized least squares can be obtained as special cases. We use properties of reproducing kernel Hilbert spaces to prove new Representer theorems that provide theoretical basis for the algorithms. As a result (in contrast to purely graph-based approaches) we obtain a natural out-of-sample extension to novel examples and so are able to handle both transductive and truly semi-supervised settings. We present experimental evidence suggesting that our semi-supervised algorithms are able to use unlabeled data effectively. Finally we have a brief discussion of unsupervised and fully supervised learning within our general framework.