Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Online and batch learning of pseudo-metrics
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Boosting margin based distance functions for clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning distance function by coding similarity
Proceedings of the 24th international conference on Machine learning
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
Nonlinear adaptive distance metric learning for clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to Locate Informative Features for Visual Identification
International Journal of Computer Vision
Metric Learning: A Support Vector Approach
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Emerging Trends in Visual Computing
Learning "forgiving" hash functions: algorithms and large scale tests
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A unified framework of subspace and distance metric learning for face recognition
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Image classification from small sample, with distance learning and feature selection
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Anomalies detection in mobile network management data
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Learning distance functions for image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Nearest neighbour distance matrix classification
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Learning Multi-modal Similarity
The Journal of Machine Learning Research
Identifying Join Candidates in the Cairo Genizah
International Journal of Computer Vision
Sufficient dimensionality reduction with irrelevance statistics
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Cluster-based adaptive metric classification
Neurocomputing
An effective support vector data description with relevant metric learning
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Similarity scores based on background samples
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Proceedings of the 21st international conference on World Wide Web
Learning a distance metric by empirical loss minimization
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
CluChunk: clustering large scale user-generated content incorporating chunklet information
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Nearest neighbor classifier generalization through spatially constrained filters
Pattern Recognition
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Journal of Medical Systems
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We propose a new learning approach for image retrieval, which we call adjustment learning, and demonstrate its use for face recognition and color matching. Our approach is motivated by a frequently encountered problem, namely, that variability in the original data representation which is not relevant to the task may interfere with retrieval and make it very difficult. Our key observation is that in real applications of image retrieval, data sometimes comes in small chunks - small subsets of images that come from the same (but unknown) class. This is the case, for example, when a query is presented via a short video clip. We call these groups chunklets, and we call the paradigm which uses chunklets for unsupervised learning adjustment learning. Within this paradigm we propose a linear scheme, which we call Relevant Component Analysis; this scheme uses the information in such chunklets to reduce irrelevant variability in the data while amplifying relevant variability. We provide results using our method on two problems: face recognition (using a database publicly available on the web), and visual surveillance (using our own data). In the latter application chunklets are obtained automatically from the data without the need of supervision.