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MIA
2011
111views more  MIA 2011»
14 years 4 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Siqi Chen, D. Michael Lovelock, Richard J. Radke
CVPR
2009
IEEE
16 years 4 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...
AAAI
2010
14 years 11 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
NIPS
2008
14 years 11 months ago
The Mondrian Process
We describe a novel class of distributions, called Mondrian processes, which can be interpreted as probability distributions over kd-tree data structures. Mondrian processes are m...
Daniel M. Roy, Yee Whye Teh
95
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 4 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu