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» A Kernel Approach to Comparing Distributions
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SOSP
1993
ACM
13 years 8 months ago
Improving IPC by Kernel Design
Inter-process communication (ipc) has to be fast and e ective, otherwise programmers will not use remote procedure calls(RPC),multithreadingand multitasking adequately. Thus ipc p...
Jochen Liedtke
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
CSDA
2007
101views more  CSDA 2007»
13 years 7 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
ACL
2004
13 years 8 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
ECCV
2004
Springer
14 years 9 months ago
A Correlation-Based Approach to Robust Point Set Registration
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
Yanghai Tsin, Takeo Kanade