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IJON
2008
101views more  IJON 2008»
15 years 6 months ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...
TODAES
1998
68views more  TODAES 1998»
15 years 6 months ago
Specification and verification of pipelining in the ARM2 RISC microprocessor
Abstract State Machines (ASMs) provide a sound mathematical basis for the specification and verification of systems. An application of the ASM methodology to the verification of a ...
James K. Huggins, David Van Campenhout
ICASSP
2011
IEEE
14 years 10 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ICCS
2004
Springer
16 years 5 days ago
Complex Network of Earthquakes
Complex Network of Earthquakes Sumiyoshi Abe Institute of Physics, University of Tsukuba Ibaraki 3058571, Japan First, a brief discussion is made about a relevance of nonextensive...
Sumiyoshi Abe, Norikazu Suzuki
BMCBI
2006
134views more  BMCBI 2006»
15 years 6 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
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