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TIP
2002
179views more  TIP 2002»
13 years 10 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICMCS
2009
IEEE
133views Multimedia» more  ICMCS 2009»
13 years 8 months ago
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation
In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The bi...
Nikolaos Gkalelis, Nikos Nikolaidis, Ioannis Pitas
CORR
2011
Springer
160views Education» more  CORR 2011»
13 years 5 months ago
When is social computation better than the sum of its parts?
good solutions to complex problems. In many examples, individuals trying to solve superior global solution. This suggests that there may be general principles of information aggre...
Vadas Gintautas, Aric A. Hagberg, Luís M. A...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 10 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
ECAI
2006
Springer
14 years 10 days ago
Count-As Conditionals, Classification and Context
Abstract. Searle represents constitutive norms as count-as conditionals, written as `X counts as Y in context C'. Grossi et al. study a class of these conditionals as `in cont...
Guido Boella, Leendert W. N. van der Torre