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Efficient Optimization For Low-Rank Integrated Bilinear Classifiers
Published on Feb 4, 20254587 Views
In pattern classification, it is needed to efficiently treat two-way data (feature matrices) while preserving the two-way structure such as spatio-temporal relationships, etc. The classifier for the f
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Presentation
Efficient Optimization For Low-Rank Integrated Bilinear Classifiers00:00
Feature Representation in Visual Classification Problems (1)05:50:52
Feature Representation in Visual Classification Problems (2)10:00:53
Feature Representation in Visual Classification Problems (3)15:11:18
Feature Representation in Visual Classification Problems (4)18:10:02
Feature Representation in Visual Classification Problems (5)20:01:30
Feature Representation in Visual Classification Problems (6)22:28:22
Feature Representation in Visual Classification Problems (7)24:26:03
Feature Representation in Visual Classification Problems (8)25:02:32
Feature Representation in Visual Classification Problems (9)26:51:56
Classifier for Feature Matrix29:35:29
Convex Optimization for Bilinear Classifier51:26:46
Margin of Bilinear Classifier52:30:16
Efficient Convex Optimization (1)78:19:03
Efficient Convex Optimization (2)98:21:09
Kernelization - heterogeneous multiple kernel learning136:59:05
Kernelized Bilinear Model137:39:41
Heterogeneous Kernel154:19:01
Connection to Canonical Correlation Analysis (1)181:16:02
Connection to Canonical Correlation Analysis (2)190:10:52
Connection to Canonical Correlation Analysis (3)197:14:32
eccv2012_kobayashi_optimization_01_Page_27199:06:06
eccv2012_kobayashi_optimization_01_Page_28201:46:32
eccv2012_kobayashi_optimization_01_Page_29203:44:54
Connection to Canonical Correlation Analysis (4)211:32:25
Recap: Heterogeneous MKL (1)217:34:56
Recap: Heterogeneous MKL (2)220:16:22
Experimental Results (4)228:30:09
Experimental Results (5)240:10:25
Thank you!!249:53:53