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» Kernel Methods for Pattern Analysis
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ICS
2010
Tsinghua U.
14 years 3 months ago
Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization
We explore the intersection between an emerging class of architectures and a prominent workload: GPGPUs (General-Purpose Graphics Processing Units) and regular expression matching...
Jamin Naghmouchi, Daniele Paolo Scarpazza, Mladen ...
PAMI
2007
353views more  PAMI 2007»
13 years 10 months ago
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
— Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures have attracted growing attention. In this paper, a novel appr...
Guoying Zhao, Matti Pietikäinen
ICIAR
2005
Springer
14 years 4 months ago
Soft-Switching Adaptive Technique of Impulsive Noise Removal in Color Images
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Bogdan Smolka, Konstantinos N. Plataniotis
PAMI
2012
12 years 1 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
BMCBI
2002
195views more  BMCBI 2002»
13 years 10 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...