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» Visual Learning Given Sparse Data of Unknown Complexity
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ICML
2005
IEEE
16 years 12 days ago
Computational aspects of Bayesian partition models
The conditional distribution of a discrete variable y, given another discrete variable x, is often specified by assigning one multinomial distribution to each state of x. The cost...
Mikko Koivisto, Kismat Sood
CVIU
2008
126views more  CVIU 2008»
14 years 11 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 6 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
ICCV
2007
IEEE
16 years 1 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
SIGMOD
2007
ACM
122views Database» more  SIGMOD 2007»
15 years 11 months ago
XQuery layers
XML is the data interoperability standard in many application domains. Therefore, an increasing number of researchers and professionals, who are not computer scientists (although ...
Daniele Braga, Alessandro Campi, Stefano Ceri, Pao...