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Foundations and Trends in Machine Learning, ISSN 1935-8237, 2012, Volume 5, Issue 4, pp. 287 - 364
The metric learning problem is concerned with learning a distance function tuned to a particular task, and has been shown to be useful when used in conjunction... 
Learning | Data points | Foundations | Distance learning | Mathematical analysis | Data sets | Texts | Nonlinearity
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 10/2018, Volume 28, Issue 10, pp. 2633 - 2643
Cross-scene regression tasks, such as congestion level detection and crowd counting, are useful but challenging. There are two main problems, which limit the... 
Training | Learning systems | Algorithm design and analysis | Deep learning | metric learning | crowd counting | congestion detection | regression | Machine learning | Feature extraction | Distance measurement | ENGINEERING, ELECTRICAL & ELECTRONIC | Regression | Congestion | Density | Optimization
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2014, Volume 15, pp. 533 - 564
Optimal transport distances have been used for more than a decade in machine learning to compare histograms of features. They have one parameter: the ground... 
Metric nearness | Optimal transport distance | Earth mover's distance | Metric learning | TABLE | metric learning | earth mover's distance | CLASSIFICATION | optimal transport distance | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | metric nearness
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 02/2019, Volume 26, Issue 2, pp. 357 - 361
In most existing metric learning methods, the data pairs are equally treated without considering their diversity. In fact, for pairs with different distances,... 
Learning systems | Training | pairwise classification | Image color analysis | Neural networks | Machine learning | Extraterrestrial measurements | distance dependent | Metric learning | ENGINEERING, ELECTRICAL & ELECTRONIC | Clusters | Teaching methods | Speech recognition
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 01/2018, Volume 27, Issue 1, pp. 281 - 292
Journal Article
Synthesis Lectures on Artificial Intelligence and Machine Learning, ISSN 1939-4608, 01/2015, Volume 30, pp. 1 - 151
Conference Proceeding
Information Sciences, ISSN 0020-0255, 10/2014, Volume 281, pp. 674 - 686
How do we accurately browse a large set of images or efficiently annotate the images from an image library? Image clustering methods are invaluable tools for... 
Pairwise constraints | Manifold structure | Semantic distance metric | Clustering | SEMI-SUPERVISED RANKING | FUSION | RECOGNITION | COMPUTER SCIENCE, INFORMATION SYSTEMS | CLASSIFICATION | RETRIEVAL | FEATURES | IMAGE | COLOR | SIMILARITY | SCENE | Distance education | Learning | Histograms | Construction | Semantics | Images | Visual | Preserving
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 01/2009, Volume 10, pp. 207 - 244
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2019, Volume 41, Issue 2, pp. 408 - 422
Journal Article
Machine Learning, ISSN 0885-6125, 2/2019, Volume 108, Issue 2, pp. 267 - 295
Distance metric learning (DML) aims to find a suitable measure to compute a distance between instances. Facilitated by side information, the learned metric can... 
Control, Robotics, Mechatronics | Artificial Intelligence | Computer Science | Natural Language Processing (NLP) | Distance metric learning | Generalization analysis | Simulation and Modeling | Excess risk | SIMILARITY | RANKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 08/2019, Volume 49, Issue 8, pp. 3168 - 3179
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2018, Volume 75, pp. 272 - 281
•Propose a locality constraint metric learning for congestion detection.•Present an accurate and unified definition of congestion.•Assemble a new data set to... 
Locality constraint | Traffic congestion analysis | Distance metric learning | Kernel regression | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Distance education | Analysis | Traffic congestion
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2012, Volume 21, Issue 11, pp. 4636 - 4648
In image processing, cartoon character classification, retrieval, and synthesis are critical, so that cartoonists can effectively and efficiently make cartoons... 
Measurement | multiview | synthesis | Visualization | distance metric | Shape | Image color analysis | retrieval | Classification | Feature extraction | Animation | Vectors | COLOR | SIMILARITY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Graph theory | Image processing | Mathematical optimization | Iterative methods (Mathematics) | Innovations
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 06/2017, Volume 29, Issue 6, pp. 1158 - 1171
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2015, Volume 26, Issue 7, pp. 1551 - 1559
Journal Article
Pattern Recognition, ISSN 0031-3203, 2008, Volume 41, Issue 12, pp. 3600 - 3612
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2015, Volume 24, Issue 11, pp. 3321 - 3331
In this paper, we propose a novel adaptive metric learning algorithm (AML) for visual saliency detection. A key observation is that the saliency of a... 
Training | Visualization | Image coding | saliency detection | fisher vector | Euclidean distance | Feature extraction | Kernel | Metric learning | Mahalanobis distance | INTEGRATION | Fisher vector | CLASSIFICATION | OBJECT DETECTION | VISUAL SALIENCY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Research | Kernel functions
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 12/2017, Volume 47, Issue 12, pp. 4014 - 4024
How do we retrieve images accurately? Also, how do we rank a group of images precisely and efficiently for specific queries? These problems are critical for... 
Ranking (statistics) | Deep learning | Distance learning | Image retrieval | Semantics | image ranking | Machine learning | distance metric learning (DML) | Extraterrestrial measurements | multimodal | GRAPH | SEARCH | REPRESENTATION | RETRIEVAL | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, CYBERNETICS | Learning | Queries | Ranking | Images
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 09/2014, Volume 23, Issue 9, pp. 3789 - 3801
Journal Article