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» On soft mappings
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ICML
2010
IEEE
14 years 11 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
INFFUS
2006
103views more  INFFUS 2006»
14 years 10 months ago
Information fusion approaches to the automatic pronunciation of print by analogy
Automatic pronunciation of words from their spelling alone is a hard computational problem, especially for languages like English and French where there is only a partially consis...
Robert I. Damper, Yannick Marchand
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
14 years 8 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
ISBI
2011
IEEE
14 years 1 months ago
Interventional MR-imaging for thermal ablation therapy
Magnetic Resonance Imaging (MRI) has several unique advantages for guiding thermal ablation therapies. It not only provides excellent soft-tissue contrast and multiplanar capabili...
Eva Rothgang, Wesley D. Gilson, Wilhelm Strehl, Li...
CVPR
2012
IEEE
13 years 12 days ago
Multiclass pixel labeling with non-local matching constraints
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
Stephen Gould