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JOCN
2011
78views more  JOCN 2011»
15 years 1 months ago
Changes in Cerebello-motor Connectivity during Procedural Learning by Actual Execution and Observation
■ The cerebellum is involved in motor learning of new procedures both during actual execution of a motor task and during observational training. These processes are thought to d...
Sara Torriero, Massimiliano Oliveri, Giacomo Koch,...
DASIP
2010
15 years 1 months ago
Automated generation of an efficient MPEG-4 Reconfigurable Video Coding decoder implementation
This paper proposes an automatic design flow from userfriendly design to efficient implementation of video processing systems. This design flow starts with the use of coarsegrain ...
Ruirui Gu, Jonathan Piat, Mickaël Raulet, J&o...
BCB
2010
175views Bioinformatics» more  BCB 2010»
15 years 1 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan
JMLR
2010
106views more  JMLR 2010»
15 years 1 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
JMLR
2010
192views more  JMLR 2010»
15 years 1 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
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