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ICANN
2009
Springer
16 years 1 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
ICECCS
2005
IEEE
73views Hardware» more  ICECCS 2005»
16 years 13 days ago
Integrating Object-Z with Timed Automata
When designing a complex system, Object-Z is a powerful logic-based language for modeling the system state aspects, and Timed Automata is an excellent graph-based notation for cap...
Jin Song Dong, Roger Duke, Ping Hao
GCC
2005
Springer
16 years 10 days ago
RSM and SLN: Transformation, Normalization and Cooperation
The Resource Space Model RSM and Semantic Link Network SLN are models of future interconnection environment, and the combination of them forms a rich semantic layer for the next-ge...
Erlin Yao, Yunpeng Xing, Jie Liu, Xiaoping Sun
ICML
2008
IEEE
16 years 7 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
ICCAD
2007
IEEE
106views Hardware» more  ICCAD 2007»
16 years 3 months ago
A general model for performance optimization of sequential systems
Abstract— Retiming, c-slow retiming and recycling are different transformations for the performance optimization of sequential circuits. For retiming and c-slow retiming, differe...
Dmitry Bufistov, Jordi Cortadella, Michael Kishine...