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NIPS
1997
15 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
TCBB
2010
104views more  TCBB 2010»
15 years 5 months ago
Fast Hinge Detection Algorithms for Flexible Protein Structures
— Analysis of conformational changes is one of the keys to the understanding of protein functions and interactions. For the analysis, we often compare two protein structures, tak...
Tetsuo Shibuya
BMCBI
2007
86views more  BMCBI 2007»
15 years 6 months ago
Detecting microsatellites within genomes: significant variation among algorithms
Background: Microsatellites are short, tandemly-repeated DNA sequences which are widely distributed among genomes. Their structure, role and evolution can be analyzed based on exh...
Sébastien Leclercq, Eric Rivals, Philippe J...
BMCBI
2008
146views more  BMCBI 2008»
15 years 6 months ago
A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
MOBIHOC
2008
ACM
16 years 6 months ago
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects data from sensor nodes via short-range co...
Guoliang Xing, Tian Wang, Weijia Jia, Minming Li