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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
PAMI
2008
119views more  PAMI 2008»
13 years 9 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
ICIP
2005
IEEE
14 years 11 months ago
Feature extraction of non-stained melanocyte cells
We present a procedure that extracts detailed morphological measurements from human melanocyte cells. The cells and imaging condition have the following characteristics: (i) no im...
Ralf Kemkemer, Giovanni G. Estrada, D. Kaufmann, D...
NIPS
2001
13 years 11 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
BMCBI
2006
154views more  BMCBI 2006»
13 years 10 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...