Making large-scale support vector machine learning practical
Advances in kernel methods
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries
SIAM Journal on Optimization
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Hierarchic Bayesian models for kernel learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Combined SVM-Based Feature Selection and Classification
Machine Learning
A DC-programming algorithm for kernel selection
ICML '06 Proceedings of the 23rd international conference on Machine learning
Optimal kernel selection in Kernel Fisher discriminant analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Efficient Margin Maximizing with Boosting
The Journal of Machine Learning Research
Feature space perspectives for learning the kernel
Machine Learning
The Interplay of Optimization and Machine Learning Research
The Journal of Machine Learning Research
Large Scale Multiple Kernel Learning
The Journal of Machine Learning Research
The Journal of Machine Learning Research
More efficiency in multiple kernel learning
Proceedings of the 24th international conference on Machine learning
A kernel path algorithm for support vector machines
Proceedings of the 24th international conference on Machine learning
Discriminant kernel and regularization parameter learning via semidefinite programming
Proceedings of the 24th international conference on Machine learning
Multiclass multiple kernel learning
Proceedings of the 24th international conference on Machine learning
A Newton's method for perturbed second-order cone programs
Computational Optimization and Applications
Nonlinear adaptive distance metric learning for clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Artificial Intelligence in Medicine
Graph kernels between point clouds
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Localized multiple kernel learning
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Multi-class Discriminant Kernel Learning via Convex Programming
The Journal of Machine Learning Research
Consistency of the Group Lasso and Multiple Kernel Learning
The Journal of Machine Learning Research
Improving SVM Performance Using a Linear Combination of Kernels
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Credit Risk Evaluation Using Support Vector Machine with Mixture of Kernel
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Kernel Matrix Learning for One-Class Classification
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Automatic feature selection for anomaly detection
Proceedings of the 1st ACM workshop on Workshop on AISec
A model for a complex polynomial SVM kernel
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Two-Phased Active Support Kernel Machine Learning
New Frontiers in Applied Data Mining
Kernel Trees for Support Vector Machines
IEICE - Transactions on Information and Systems
A Kernel Framework for Protein Residue Annotation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Multiple indefinite kernel learning with mixed norm regularization
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
More generality in efficient multiple kernel learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Non-monotonic feature selection
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Optimal Double-Kernel Combination for Classification
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
A Convex Method for Locating Regions of Interest with Multi-instance Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Margin and Radius Based Multiple Kernel Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
An l 1 Regularization Framework for Optimal Rule Combination
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Feature Selection for Density Level-Sets
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Evaluation of a hybrid method for constructing multiple SVM kernels
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
A procedure of adaptive kernel combination with kernel-target alignment for object classification
Proceedings of the ACM International Conference on Image and Video Retrieval
Building sparse multiple-kernel SVM classifiers
IEEE Transactions on Neural Networks
Learning the optimal neighborhood kernel for classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
On multiple kernel learning with multiple labels
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Using Kernel Basis with Relevance Vector Machine for Feature Selection
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Representation and feature selection using multiple kernel learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Efficiently searching for similar images
Communications of the ACM
Combining pattern recognition modalities at the sensor level via kernel fusion
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
l1 regularization in infinite dimensional feature spaces
COLT'07 Proceedings of the 20th annual conference on Learning theory
The kernelHMM: learning kernel combinations in structured output domains
Proceedings of the 29th DAGM conference on Pattern recognition
Analysis of the distance between two classes for tuning SVM hyperparameters
IEEE Transactions on Neural Networks
Cost-conscious multiple kernel learning
Pattern Recognition Letters
Support kernel machine-based active learning to find labels and a proper kernel simultaneously
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Multiple Kernel learning using regularized Ho-Kashyap classifier in empirical Kernel mapping space
ICNC'09 Proceedings of the 5th international conference on Natural computation
Supervised learning of local projection kernels
Neurocomputing
Audio-visual group recognition using diffusion maps
IEEE Transactions on Signal Processing
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
Neural Processing Letters
Combining coregularization and consensus-based self-training for multilingual text categorization
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Content-enriched classifier for web video classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Employing multiple-kernel support vector machines for counterfeit banknote recognition
Applied Soft Computing
Learning Translation Invariant Kernels for Classification
The Journal of Machine Learning Research
Regularizing multiple kernel learning using response surface methodology
Pattern Recognition
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
Per-sample multiple kernel approach for visual concept learning
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Language pyramid and multi-scale text analysis
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
On numerical optimization theory of infinite kernel learning
Journal of Global Optimization
S3MKL: scalable semi-supervised multiple kernel learning for image data mining
Proceedings of the international conference on Multimedia
A multiple-kernel support vector regression approach for stock market price forecasting
Expert Systems with Applications: An International Journal
On the power of topological kernel in microarray-based detection of cancer
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Constructing nonlinear discriminants from multiple data views
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
A unifying view of multiple kernel learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Solving structured sparsity regularization with proximal methods
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Approximating parameterized convex optimization problems
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Online multiple kernel learning: algorithms and mistake bounds
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Sparse RBF Networks with Multi-kernels
Neural Processing Letters
Medical image classification with multiple kernel learning
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Learning with uncertain kernel matrix set
Journal of Computer Science and Technology
Multiple kernel learning improved by MMD
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Multitask Sparsity via Maximum Entropy Discrimination
The Journal of Machine Learning Research
Bayesian Generalized Kernel Mixed Models
The Journal of Machine Learning Research
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
The Journal of Machine Learning Research
Variable Sparsity Kernel Learning
The Journal of Machine Learning Research
Towards semantic knowledge propagation from text corpus to web images
Proceedings of the 20th international conference on World wide web
A multi-scale learning framework for visual categorization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Multiple classifier systems in texton-based approach for the classification of CT images of lung
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Characterizing structural relationships in scenes using graph kernels
ACM SIGGRAPH 2011 papers
On feature combination and multiple kernel learning for object tracking
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Human tracking by multiple kernel boosting with locality affinity constraints
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Expert Systems with Applications: An International Journal
Pattern Recognition
Multiple kernel active learning for facial expression analysis
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
lp-Norm Multiple Kernel Learning
The Journal of Machine Learning Research
A Family of Simple Non-Parametric Kernel Learning Algorithms
The Journal of Machine Learning Research
Learning a Robust Relevance Model for Search Using Kernel Methods
The Journal of Machine Learning Research
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Simultaneous similarity learning and feature-weight learning for document clustering
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Active multiple kernel learning for interactive 3D object retrieval systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Multiple random subset-kernel learning
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Novel fusion methods for pattern recognition
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Multiview semi-supervised learning for ranking multilingual documents
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Two-stage augmented kernel matrix for object recognition
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Multiple kernel learning via distance metric learning for interactive image retrieval
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A multiple Kernel learning algorithm for cell nucleus classification of renal cell carcinoma
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Information Sciences: an International Journal
Efficient lp-norm multiple feature metric learning for image categorization
Proceedings of the 20th ACM international conference on Information and knowledge management
Graph-based malware detection using dynamic analysis
Journal in Computer Virology
Learning "verb-object" concepts for semantic image annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Image annotation by composite kernel learning with group structure
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Learning concept bundles for video search with complex queries
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Solving semi-infinite linear programs using boosting-like methods
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Discriminative compact pyramids for object and scene recognition
Pattern Recognition
Object categorization using kernels combining graphs and histograms of gradients
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Learning convex combinations of continuously parameterized basic kernels
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Fast neighborhood component analysis
Neurocomputing
Support vector machine to synthesise kernels
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Optimization of complex SVM kernels using a hybrid algorithm based on wasp behaviour
LSSC'09 Proceedings of the 7th international conference on Large-Scale Scientific Computing
Learning interpretable SVMs for biological sequence classification
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Combining multiple kernels by augmenting the kernel matrix
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Feature relationships hypergraph for multimodal recognition
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis
Pattern Recognition
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Non-sparse multiple kernel fisher discriminant analysis
The Journal of Machine Learning Research
Structured sparsity and generalization
The Journal of Machine Learning Research
Incorporation of radius-info can be simple with SimpleMKL
Neurocomputing
Multiple kernel learning with gaussianity measures
Neural Computation
Multi-kernel multi-label learning with max-margin concept network
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Statistical Analysis and Data Mining
SPF-GMKL: generalized multiple kernel learning with a million kernels
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature grouping and selection over an undirected graph
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A keyword-topic model for contextual advertising
Proceedings of the Third Symposium on Information and Communication Technology
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Improving malware classification: bridging the static/dynamic gap
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Approximating parameterized convex optimization problems
ACM Transactions on Algorithms (TALG)
Visual knowledge transfer among multiple cameras for people counting with occlusion handling
Proceedings of the 20th ACM international conference on Multimedia
Localized algorithms for multiple kernel learning
Pattern Recognition
Deriving kernels from generalized Dirichlet mixture models and applications
Information Processing and Management: an International Journal
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Space-variant descriptor sampling for action recognition based on saliency and eye movements
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Separable approximate optimization of support vector machines for distributed sensing
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Supervised patient similarity measure of heterogeneous patient records
ACM SIGKDD Explorations Newsletter
Accelerated max-margin multiple kernel learning
Applied Intelligence
Simultaneous learning of localized multiple kernels and classifier with weighted regularization
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Online Multiple Kernel Classification
Machine Learning
Online learning with multiple kernels: A review
Neural Computation
An efficient multiple-kernel learning for pattern classification
Expert Systems with Applications: An International Journal
Fast multi-view segment graph kernel for object classification
Signal Processing
Multiple kernel local Fisher discriminant analysis for face recognition
Signal Processing
Online annotation of faces in personal videos by sequential learning
Multimedia Tools and Applications
Regularizers for structured sparsity
Advances in Computational Mathematics
Unsupervised non-parametric kernel learning algorithm
Knowledge-Based Systems
Model selection based product kernel learning for regression on graphs
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Cross-Database transfer learning via learnable and discriminant error-correcting output codes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Neurocomputing
On the convergence rate of lp-norm multiple kernel learning
The Journal of Machine Learning Research
Accurate and efficient cross-domain visual matching leveraging multiple feature representations
The Visual Computer: International Journal of Computer Graphics
Eigenvalues perturbation of integral operator for kernel selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction
Computational Economics
Domain transfer for person re-identification
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Training Lp norm multiple kernel learning in the primal
Neural Networks
Memory recall based video search: Finding videos you have seen before based on your memory
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Kernel analysis on Grassmann manifolds for action recognition
Pattern Recognition Letters
E2LSH based multiple kernel approach for object detection
Neurocomputing
Efficient kernel learning from side information using ADMM
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multiple feature kernel hashing for large-scale visual search
Pattern Recognition
A nested heuristic for parameter tuning in Support Vector Machines
Computers and Operations Research
Nonparametric sparsity and regularization
The Journal of Machine Learning Research
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Combining multiple views: Case studies on protein and arrhythmia features
Engineering Applications of Artificial Intelligence
Multimedia event detection with multimodal feature fusion and temporal concept localization
Machine Vision and Applications
Multiple instance learning based on positive instance selection and bag structure construction
Pattern Recognition Letters
Analytic center cutting plane method for multiple kernel learning
Annals of Mathematics and Artificial Intelligence
Boosted kernel for image categorization
Multimedia Tools and Applications
Hi-index | 0.04 |
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. (2004) considered conic combinations of kernel matrices for the support vector machine (SVM), and showed that the optimization of the coefficients of such a combination reduces to a convex optimization problem known as a quadratically-constrained quadratic program (QCQP). Unfortunately, current convex optimization toolboxes can solve this problem only for a small number of kernels and a small number of data points; moreover, the sequential minimal optimization (SMO) techniques that are essential in large-scale implementations of the SVM cannot be applied because the cost function is non-differentiable. We propose a novel dual formulation of the QCQP as a second-order cone programming problem, and show how to exploit the technique of Moreau-Yosida regularization to yield a formulation to which SMO techniques can be applied. We present experimental results that show that our SMO-based algorithm is significantly more efficient than the general-purpose interior point methods available in current optimization toolboxes.