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» Introduction to Pattern Recognition
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142
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ICCAD
2003
IEEE
193views Hardware» more  ICCAD 2003»
15 years 9 months ago
FROSTY: A Fast Hierarchy Extractor for Industrial CMOS Circuits
: This paper presents FROSTY, a computer program for automatically extracting the hierarchy of a large-scale digital CMOS circuit from its transistor-level netlist description and ...
Lei Yang, C.-J. Richard Shi
136
Voted
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 7 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
118
Voted
KAIS
2006
87views more  KAIS 2006»
15 years 3 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar
91
Voted
PR
2006
80views more  PR 2006»
15 years 3 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
152
Voted
TNN
1998
254views more  TNN 1998»
15 years 3 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen