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» Variational Inference for Diffusion Processes
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ICIP
2002
IEEE
14 years 9 months ago
A new direction adaptive scheme for image interpolation
In this paper, we present a novel image interpolation method based on variational models with both smoothing and orientation constraints. By introducing the orientation constraint...
Hao Jiang, Cecilia Moloney
ML
2008
ACM
13 years 7 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
CVPR
2001
IEEE
14 years 9 months ago
Learning Flexible Sprites in Video Layers
See a PPT file with videos at www.research.microsoft.com/users/jojic/FlexiblesSprites.htm We propose a technique for automatically learning layers of "flexible sprites" ...
Nebojsa Jojic, Brendan J. Frey
MICCAI
2006
Springer
14 years 8 months ago
Fast Non Local Means Denoising for 3D MR Images
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to inc...
Pierrick Coupé, Pierre Yger, Christian Bari...
JMLR
2010
156views more  JMLR 2010»
13 years 2 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...