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Deep learning vs. kernel methods: Performance for emotion prediction in videos.

, , , and . ACII, page 77-83. IEEE Computer Society, (2015)

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Image modeling using statistical measures for visual object categorization., , , and . IPTA, page 319-324. IEEE, (2010)Discriminative Transfer Learning Using Similarities and Dissimilarities., , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (7): 3097-3110 (2018)Region Based Visual Object Categorization Using Segment Features and Polynomial Modeling., , , and . SSPR/SPR, volume 5342 of Lecture Notes in Computer Science, page 277-286. Springer, (2008)IRIM at TRECVID 2013 : Semantic Indexing and Instance Search., , , , , , , , , and 16 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2013)IRIM at TRECVID 2015: Semantic Indexing., , , , , , , , , and 12 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2015)When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset., , , and . VISIGRAPP (4: VISAPP), page 703-710. SCITEPRESS, (2023)Reconstructive and Discriminative Sparse Representation for Visual Object Categorization., , and . BMVC, page 1-12. BMVA Press, (2011)Bayesian GOETHE Tracking., , and . ICPR, page 2077-2080. IEEE Computer Society, (2010)Features extraction and selection for emotional speech classification., , , and . AVSS, page 411-416. IEEE Computer Society, (2005)Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image., , and . Int. J. Comput. Vis., 128 (5): 1331-1359 (2020)