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UAI
2004
13 years 8 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
BMCBI
2008
131views more  BMCBI 2008»
13 years 7 months ago
Major copy proportion analysis of tumor samples using SNP arrays
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
Cheng Li, Rameen Beroukhim, Barbara A. Weir, Wendy...
ATAL
2007
Springer
14 years 1 months ago
Automatic annotation of team actions in observations of embodied agents
Recognizing and annotating the occurrence of team actions in observations of embodied agents has applications in surveillance and in training of military or sport teams. We descri...
Linus J. Luotsinen, Hans Fernlund, Ladislau Bö...
BMVC
2002
13 years 10 months ago
A Qualitative, Multi-scale Grammar For Image Description and Analysis
A qualitative image description grammar with automatic image fitting and object modelling algorithms is presented. The grammar is based on assigning a square sub-region of an imag...
Derek R. Magee
ICIP
2008
IEEE
14 years 9 months ago
Robust snake convergence based on dynamic programming
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...