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On Sequence Kernels for SVM classification of sets of vector
Published on Feb 15, 20085289 Views
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Chapter list
On sequence kernels for SVM classification of sets of vectors: Application to speaker verification00:00
Text independent speaker verification - 101:40
Text independent speaker verification - 201:49
Text independent speaker verification - 301:53
Support vector machines (SVM) - 102:01
Support vector machines (SVM) - 202:51
Outline02:53
Basics on kernels02:55
Sequence kernels - 103:35
Sequence kernels - 204:25
Mutual information kernels - 104:28
Mutual information kernels - 205:20
Mutual information kernels - 305:27
Kernels between probability densities05:43
Combination of vector kernels - 107:26
Combination of vector kernels - 208:07
Combination of vector kernels - 310:25
Outline10:28
Extension of the GLDS kernel : FSNS kernels - 110:30
Extension of the GLDS kernel : FSNS kernels - 211:19
Dual form of FSNS kernels - 112:15
Dual form of FSNS kernels - 212:42
Dual form of FSNS kernels - 313:17
Computational complexity - 113:25
Computational complexity - 214:18
Kernel approximation - 114:33
Kernel approximation - 214:50
Approximate form of FSNS kernels15:21
Outline16:15
Data - 116:17
Data - 216:37
Development: Centring & Regularization?16:40
Developement: Choice and tuning of the vector kernel17:36
Developement: Size of the codebook18:18
Evaluation: FSNS kernels vs. classical approches18:53
Evaluation: Perspectives of fusion20:01
Evaluation: All sequence kernels20:35
Evaluation: All sequence kernels22:02
Conclusions and future work22:23