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IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
When Is ''Nearest Neighbor'' Meaningful?
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Optimal multimodal fusion for multimedia data analysis
Proceedings of the 12th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Graph based multi-modality learning
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Learning Distance Metrics with Contextual Constraints for Image Retrieval
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
Learning to reduce the semantic gap in web image retrieval and annotation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
General Averaged Divergence Analysis
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Study on the combination of video concept detectors
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Output Regularized Metric Learning with Side Information
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Geometric Mean for Subspace Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient algorithm for local distance metric learning
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Semi-supervised metric learning using pairwise constraints
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
An optimization criterion for generalized discriminant analysis on undersampled problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modality Mixture Projections for Semantic Video Event Detection
IEEE Transactions on Circuits and Systems for Video Technology
Fast text categorization using concise semantic analysis
Pattern Recognition Letters
Fast neighborhood component analysis
Neurocomputing
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This paper proposes an approach named distance metric learning with feature decomposition (DMLFD) that can reduce the computational costs of distance metric learning (DML) methods as well as improve their performance for image categorization. We have analyzed that a high-dimensional feature space with limited training data will introduce difficulties to DML algorithms in both computation and performance. To tackle these difficulties, we decompose the high-dimensional feature space into a set of low-dimensional feature spaces with minimal dependencies. Then we perform DML for each low-dimensional feature space to construct a sub-metric and the sub-metrics are finally combined into a global metric. We conduct experiments on Corel and TRECVID datasets with different DML methods, and empirical results have demonstrated the effectiveness and efficiency of the proposed approach.