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IJON
2007
184views more  IJON 2007»
13 years 9 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
TCBB
2008
115views more  TCBB 2008»
13 years 9 months ago
Highly Scalable Genotype Phasing by Entropy Minimization
A Single Nucleotide Polymorphism (SNP) is a position in the genome at which two or more of the possible four nucleotides occur in a large percentage of the population. SNPs accoun...
Alexander Gusev, Ion I. Mandoiu, Bogdan Pasaniuc
IJVR
2008
208views more  IJVR 2008»
13 years 8 months ago
A View-based Multiple Objects Tracking and Human Action Recognition for Interactive Virtual Environments
As environments become smart in accordance with advances in ubiquitous computing technology, researchers are struggling to satisfy users' diverse and sophisticated demands. Th...
Jin Choi, Yong-il Cho, Kyusung Cho, Su-jung Bae, H...
JAIR
2010
130views more  JAIR 2010»
13 years 8 months ago
A Constraint Satisfaction Framework for Executing Perceptions and Actions in Diagrammatic Reasoning
Diagrammatic reasoning (DR) is pervasive in human problem solving as a powerful adjunct to symbolic reasoning based on language-like representations. The research reported in this...
Bonny Banerjee, B. Chandrasekaran
PAMI
2010
215views more  PAMI 2010»
13 years 8 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...