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MOBIHOC
2010
ACM
13 years 5 months ago
Fine-grained mobility characterization: steady and transient state behaviors
Recent popularization of personal hand-held mobile devices makes it important to characterize the mobility pattern of mobile device users, so as to accurately predict user mobilit...
Wei Gao, Guohong Cao
CLOR
2006
13 years 11 months ago
Generative Models for Labeling Multi-object Configurations in Images
Abstract. We propose a generative approach to the problem of labeling images containing configurations of objects from multiple classes. The main building blocks are dense statisti...
Yali Amit, Alain Trouvé
BC
2005
77views more  BC 2005»
13 years 7 months ago
Motion repulsion arises from stimulus statistics when analyzed with a clustering algorithm
Motion repulsion is the perceived enlargement of the angle between the directions of motion of two transparently moving patterns. An explanation of this illusion has long been soug...
Alireza S. Mahani, Anders E. Carlsson, Ralf Wessel
NIPS
1997
13 years 9 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
ICPR
2008
IEEE
14 years 2 months ago
Three related types of multi-value association patterns
Mining patterns involving multiple values that are significantly relevant is a difficult but very important problem that crosses many disciplines. Multi-value association patterns...
Thomas W. H. Lui, David K. Y. Chiu