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Fourier Kernel Learning
Published on Nov 12, 20125114 Views
Approximations based on random Fourier embeddings have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines [23]. By expressing the kernel as a Fo
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Chapter list
Fourier Kernel Learning00:00
Computer Vision in the Age of Data (1)00:19
Computer Vision in the Age of Data (2)00:52
Kernel Tricks and Classifiers01:21
Linear vs. Kernel Methods02:16
Can Kernel Lifting be Approximated?03:02
Random Fourier Approximations (1)03:39
Random Fourier Approximations (2)04:29
Random Fourier Feature Maps04:47
Generalized Learning Model05:40
Learning Issues in Fourier Domain06:51
Closed-form Quantiles07:12
Interesting Kernels Fit Assumptions07:51
Single Kernel Learning Experiments08:07
Multiple Kernel Learning Experiments08:52
ImageNet ILSVRC 201109:36
Conclusions10:24
Thank you!11:08