On Sequence Kernels for SVM classification of sets of vector

author:Khalid Daoudi, INRIA - The French National Institute for Research in Computer Science and Control
published: Feb. 15, 2008,   recorded: February 2008,   views: 231
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Slides

Slides
0:00 On sequence kernels for SVM classification of sets of vectors: Application to speaker verification
1:40 Text independent speaker verification - 1
1:49 Text independent speaker verification - 2
1:53 Text independent speaker verification - 3
2:01 Support vector machines (SVM) - 1
2:51 Support vector machines (SVM) - 2
2:53 - Sequence kernels
2:55 Basics on kernels
3:35 Sequence kernels - 1
4:25 Sequence kernels - 2
4:28 Mutual information kernels - 1
5:20 Mutual information kernels - 2
5:27 Mutual information kernels - 3
5:43 Kernels between probability densities
7:26 Combination of vector kernels - 1
8:07 Combination of vector kernels - 2
10:25 Combination of vector kernels - 3
10:28 - FSNS sequence kernels
10:30 Extension of the GLDS kernel : FSNS kernels - 1
11:19 Extension of the GLDS kernel : FSNS kernels - 2
12:15 Dual form of FSNS kernels - 1
12:42 Dual form of FSNS kernels - 2
13:06 Dual form of FSNS kernels - 1
13:11 Dual form of FSNS kernels - 2
13:17 Dual form of FSNS kernels - 3
13:25 Computational complexity - 1
14:18 Computational complexity - 2
14:33 Kernel approximation - 1
14:50 Kernel approximation - 2
15:21 Approximate form of FSNS kernels
16:15 - Experimental evaluation of sequence kernels
16:17 Data - 1
16:37 Data - 2
16:40 Development: Centring & Regularization?
17:36 Developement: Choice and tuning of the vector kernel
18:18 Developement: Size of the codebook
18:53 Evaluation: FSNS kernels vs. classical approches
20:01 Evaluation: Perspectives of fusion
20:35 Evaluation: All sequence kernels
22:02 Evaluation: All sequence kernels
22:23 - Questions

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