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Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
Published on 2014-11-072762 Views
Incorporating invariance information is important for many learning problems. To exploit invariances, most existing methods resort to approximations that either lead to expensive optimization problems
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Presentation
Learning with Invariance via Linear Functionals on RKHS00:00
invariance represented as linear functional00:01
Bounded linear functional and Representer theorem01:21
Experimental results02:47