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» Efficient Logic Optimization Using Regularity Extraction
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INTERSPEECH
2010
13 years 26 days ago
Convexity and fast speech extraction by split bregman method
A fast speech extraction (FSE) method is presented using convex optimization made possible by pause detection of the speech sources. Sparse unmixing filters are sought by l1 regul...
Meng Yu, Wenye Ma, Jack Xin, Stanley Osher
ISB
2002
140views more  ISB 2002»
13 years 5 months ago
Computer system "Gene Discovery" for promoter structure analysis
Data Mining and Knowledge Discovery techniques proved to be efficient tools for variety of complex tasks in biology including DNA research. This paper presents implementation of th...
Eugenii E. Vityaev, Yuri L. Orlov, Oleg V. Vishnev...
DSS
2008
103views more  DSS 2008»
13 years 6 months ago
Explaining clinical decisions by extracting regularity patterns
When solving clinical decision-making problems with modern graphical decision-theoretic models such as influence diagrams, we obtain decision tables with optimal decision alternat...
Concha Bielza, Juan A. Fernández del Pozo, ...
ICCAD
1999
IEEE
120views Hardware» more  ICCAD 1999»
13 years 10 months ago
Regularity extraction via clan-based structural circuit decomposition
Identifying repeating structural regularities in circuits allows the minimization of synthesis, optimization, and layout e orts. We introduce in this paper a novel method for ident...
Soha Hassoun, Carolyn McCreary
AAAI
2006
13 years 7 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...