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COGSCI
2010
125views more  COGSCI 2010»
15 years 3 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
JPDC
2006
146views more  JPDC 2006»
15 years 3 months ago
A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems
Minimization of the execution time of an iterative application in a heterogeneous parallel computing environment requires an appropriate mapping scheme for matching and scheduling...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...
123
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JCNS
2000
78views more  JCNS 2000»
15 years 3 months ago
Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
Abstract. The electrosensory lateral line lobe (ELL) of mormyridelectric sh is a cerebellum-likestructure that receives primarya erent input from electroreceptors in the skin. Purk...
Patrick D. Roberts, Curtis C. Bell
101
Voted
ICPR
2008
IEEE
16 years 4 months ago
IBR-based free-viewpoint imaging of a complex scene using few cameras
This paper proposes a free-viewpoint imaging method that can be used in a complicated scene such as an office room by using sparsely located cameras. In our method, a free-viewpoi...
Masatsugu Kidode, Norimichi Ukita, Shohei Kawata
113
Voted
EUROCRYPT
2007
Springer
15 years 9 months ago
Conditional Computational Entropy, or Toward Separating Pseudoentropy from Compressibility
We study conditional computational entropy: the amount of randomness a distribution appears to have to a computationally bounded observer who is given some correlated information....
Chun-Yuan Hsiao, Chi-Jen Lu, Leonid Reyzin