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TIT
2010
104views Education» more  TIT 2010»
13 years 2 months ago
Nonparametric statistical inference for ergodic processes
In this work a method for statistical analysis of time series is proposed, which is used to obtain solutions to some classical problems of mathematical statistics under the only as...
Daniil Ryabko, Boris Ryabko
CSDA
2010
139views more  CSDA 2010»
13 years 7 months ago
Detecting influential observations in Kernel PCA
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
Michiel Debruyne, Mia Hubert, Johan Van Horebeek
NIPS
2001
13 years 8 months ago
Sampling Techniques for Kernel Methods
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...
PAMI
2007
131views more  PAMI 2007»
13 years 7 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
ICDAR
2009
IEEE
13 years 5 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang