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» Linear decomposition algorithm for VLSI design applications
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ISQED
2005
IEEE
140views Hardware» more  ISQED 2005»
15 years 9 months ago
Toward Quality EDA Tools and Tool Flows Through High-Performance Computing
As the scale and complexity of VLSI circuits increase, Electronic Design Automation (EDA) tools become much more sophisticated and are held to increasing standards of quality. New...
Aaron N. Ng, Igor L. Markov
141
Voted
BMCBI
2010
144views more  BMCBI 2010»
15 years 4 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
ICML
2007
IEEE
16 years 4 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
109
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
140
Voted
DEXA
2006
Springer
193views Database» more  DEXA 2006»
15 years 7 months ago
Understanding and Enhancing the Folding-In Method in Latent Semantic Indexing
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
Xiang Wang 0002, Xiaoming Jin