Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
Parallel Optimization: Theory, Algorithms and Applications
Parallel Optimization: Theory, Algorithms and Applications
Adjustment Learning and Relevant Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Online and batch learning of pseudo-metrics
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning a Similarity Metric Discriminatively, with Application to Face Verification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
The Journal of Machine Learning Research
Metric Learning for Text Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning low-rank kernel matrices
ICML '06 Proceedings of the 23rd international conference on Machine learning
Improved error reporting for software that uses black-box components
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
Fast solvers and efficient implementations for distance metric learning
Proceedings of the 25th international conference on Machine learning
Structured metric learning for high dimensional problems
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Classification with partial labels
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning a Mahalanobis distance metric for data clustering and classification
Pattern Recognition
Improving Classification with Pairwise Constraints: A Margin-Based Approach
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Metric Learning: A Support Vector Approach
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Human Activity Recognition with Metric Learning
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
SemanGist: A Local Semantic Image Representation
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Measuring the similarity between implicit semantic relations from the web
Proceedings of the 18th international conference on World wide web
Intrinsic Geometries in Learning
Emerging Trends in Visual Computing
Geometry-aware metric 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
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Accuracy of distance metric learning algorithms
Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors
Metric learning for synonym acquisition
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantics-preserving bag-of-words models for efficient image annotation
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Distance metric learning from uncertain side information with application to automated photo tagging
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Learning semantic distance from community-tagged media collection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Clustering with Constrained Similarity Learning
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Robust distance metric learning with auxiliary knowledge
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning similarity metrics for event identification in social media
Proceedings of the third ACM international conference on Web search and data mining
Towards optimal indexing for relevance feedback in large image databases
IEEE Transactions on Image Processing
Efficiently searching for similar images
Communications of the ACM
Large Scale Online Learning of Image Similarity Through Ranking
The Journal of Machine Learning Research
Generalized iterative RELIEF for supervised distance metric learning
Pattern Recognition
Joint learning of labels and distance metric
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Learning Robust Similarity Measures for 3D Partial Shape Retrieval
International Journal of Computer Vision
Semi-supervised sparse metric learning using alternating linearization optimization
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Transfer metric learning by learning task relationships
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Multilabel dimensionality reduction via dependence maximization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning better data representation using inference-driven metric learning
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Semantics-preserving bag-of-words models and applications
IEEE Transactions on Image Processing
Scalable large-margin Mahalanobis distance metric learning
IEEE Transactions on Neural Networks
Simple and efficient algorithm for approximate dictionary matching
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Learning contextual metrics for automatic image annotation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Multiple instance metric learning from automatically labeled bags of faces
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
The quadratic-chi histogram distance family
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Adapting visual category models to new domains
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Tensor sparse coding for region covariances
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Distance metric learning by minimal distance maximization
Pattern Recognition
Distance metric learning from uncertain side information for automated photo tagging
ACM Transactions on Intelligent Systems and Technology (TIST)
Mining social images with distance metric learning for automated image tagging
Proceedings of the fourth ACM international conference on Web search and data mining
Learning similarity function for rare queries
Proceedings of the fourth ACM international conference on Web search and data mining
Nearest hit-misses component analysis for supervised metric learning
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Learning Multi-modal Similarity
The Journal of Machine Learning Research
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
The Journal of Machine Learning Research
Cosine similarity metric learning for face verification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Multi-class leveraged k-NN for image classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Dynamic time warping constraint learning for large margin nearest neighbor classification
Information Sciences: an International Journal
Learning discriminative projections for text similarity measures
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
An online metric learning approach through margin maximization
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Identifying nuclear phenotypes using semi-supervised metric learning
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Metric learning for reinforcement learning agents
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning good edit similarities with generalization guarantees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Pick your neighborhood: improving labels and neighborhood structure for label propagation
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Novel metrics for face recognition using local binary patterns
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Classification of Alzheimer's disease using a self-smoothing operator
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Robust large scale prone-supine polyp matching using local features: a metric learning approach
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
On the usefulness of similarity based projection spaces for transfer learning
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
One shot similarity metric learning for action recognition
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Efficient lp-norm multiple feature metric learning for image categorization
Proceedings of the 20th ACM international conference on Information and knowledge management
Leveraging k-NN for generic classification boosting
Neurocomputing
An affinity-based new local distance function and similarity measure for kNN algorithm
Pattern Recognition Letters
Intelligent photo clustering with user interaction and distance metric learning
Pattern Recognition Letters
Face Recognition from Caption-Based Supervision
International Journal of Computer Vision
Cluster-based adaptive metric classification
Neurocomputing
Fast neighborhood component analysis
Neurocomputing
A new framework for dissimilarity and similarity learning
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Structured lexical similarity via convolution kernels on dependency trees
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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)
Metric Learning for Estimating Psychological Similarities
ACM Transactions on Intelligent Systems and Technology (TIST)
Bag of spatio-temporal synonym sets for human action recognition
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Multi-task low-rank metric learning based on common subspace
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Manifold-Regularized minimax probability machine
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Distance metric learning with eigenvalue optimization
The Journal of Machine Learning Research
Metric and kernel learning using a linear transformation
The Journal of Machine Learning Research
Learning a distance metric by empirical loss minimization
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Distance metric learning under covariate shift
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Conversation retrieval for microblogging sites
Information Retrieval
Semi-supervised learning with mixed knowledge information
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Random forests for metric learning with implicit pairwise position dependence
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast semi-supervised clustering with enhanced spectral embedding
Pattern Recognition
Positive semidefinite metric learning using boosting-like algorithms
The Journal of Machine Learning Research
Class-specific mahalanobis distance metric learning for biological image classification
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Constrained co-clustering with non-negative matrix factorisation
International Journal of Business Intelligence and Data Mining
Correlated attribute transfer with multi-task graph-guided fusion
Proceedings of the 20th ACM international conference on Multimedia
Low rank metric learning for social image retrieval
Proceedings of the 20th ACM international conference on Multimedia
Optimal semi-supervised metric learning for image retrieval
Proceedings of the 20th ACM international conference on Multimedia
Improving relational similarity measurement using symmetries in proportional word analogies
Information Processing and Management: an International Journal
Bayesian face revisited: a joint formulation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Relaxed pairwise learned metric for person re-identification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Towards person identification and re-identification with attributes
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Local descriptors encoded by fisher vectors for person re-identification
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Recognizing materials from virtual examples
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
A robust and efficient doubly regularized metric learning approach
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Constrained clustering with local constraint propagation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Learning neighborhoods for metric learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Distance metric learning revisited
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Mirror descent for metric learning: a unified approach
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Learning using privileged information in prototype based models
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Text extraction from scene images by character appearance and structure modeling
Computer Vision and Image Understanding
Enhanced eigenspace separation transform for classification
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Online metric learning methods using soft margins and least squares formulations
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Sparse representations and distance learning for attribute based category recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
A comparative study of several feature extraction methods for person re-identification
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Improving image distance metric learning by embedding semantic relations
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Learning image-to-class distance metric for image classification
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
Low-rank quadratic semidefinite programming
Neurocomputing
Clustering with Extended Constraints by Co-Training
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Semi-supervised learning with nuclear norm regularization
Pattern Recognition
Human reidentification with transferred metric learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Discriminative dictionary learning with pairwise constraints
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Exploring the similarities of neighboring spatiotemporal points for action pair matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Combining sources of description for approximating music similarity ratings
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Multi-metric learning for multi-sensor fusion based classification
Information Fusion
Vehicle re-identification collaborating visual and temporal-spatial network
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Probabilistic non-linear distance metric learning for constrained clustering
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering
Geometry preserving multi-task metric learning
Machine Learning
Co-metric: a metric learning algorithm for data with multiple views
Frontiers of Computer Science: Selected Publications from Chinese Universities
Understanding the role of phase function in translucent appearance
ACM Transactions on Graphics (TOG)
Optimizing cepstral features for audio classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-modal distance metric learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Mining for analogous tuples from an entity-relation graph
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Semi-supervised clustering via multi-level random walk
Pattern Recognition
Multi-view classification with cross-view must-link and cannot-link side information
Knowledge-Based Systems
Who have got answers?: growing the pool of answerers in a smart enterprise social QA system
Proceedings of the 19th international conference on Intelligent User Interfaces
Laplacian minimax probability machine
Pattern Recognition Letters
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Personalized collaborative clustering
Proceedings of the 23rd international conference on World wide web
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
Spontaneous facial expression recognition: A robust metric learning approach
Pattern Recognition
Guaranteed classification via regularized similarity learning
Neural Computation
Learning music similarity from relative user ratings
Information Retrieval
Boosted kernel for image categorization
Multimedia Tools and Applications
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In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative entropy between two multivariate Gaussians under constraints on the distance function. We express this problem as a particular Bregman optimization problem---that of minimizing the LogDet divergence subject to linear constraints. Our resulting algorithm has several advantages over existing methods. First, our method can handle a wide variety of constraints and can optionally incorporate a prior on the distance function. Second, it is fast and scalable. Unlike most existing methods, no eigenvalue computations or semi-definite programming are required. We also present an online version and derive regret bounds for the resulting algorithm. Finally, we evaluate our method on a recent error reporting system for software called Clarify, in the context of metric learning for nearest neighbor classification, as well as on standard data sets.