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» Feature selection in a kernel space
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DAC
2004
ACM
14 years 6 months ago
Toward a methodology for manufacturability-driven design rule exploration
Resolution enhancement techniques (RET) such as optical proximity correction (OPC) and phase-shift mask (PSM) technology are deployed in modern processes to increase the fidelity ...
Luigi Capodieci, Puneet Gupta, Andrew B. Kahng, De...
MICCAI
2006
Springer
14 years 6 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 3 days ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
DATE
2006
IEEE
202views Hardware» more  DATE 2006»
13 years 12 months ago
Automatic systemC design configuration for a faster evaluation of different partitioning alternatives
In this paper we present a methodology that is based on SystemC [1] for rapid prototyping to greatly enhance and accelerate the exploration of complex systems to optimize the syst...
Nico Bannow, Karsten Haug, Wolfgang Rosenstiel
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong