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CVPR
2011
IEEE
15 years 2 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
FSS
2011
93views more  FSS 2011»
15 years 1 months ago
Upper and lower probabilities induced by a fuzzy random variable
We review two existing interpretations of fuzzy random variables. In the first one, the fuzzy random variable is viewed as a linguistic random variable. In the second case, it re...
Inés Couso, Luciano Sánchez
ICASSP
2011
IEEE
14 years 10 months ago
Dense disparity estimation from linear measurements
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
Vijayaraghavan Thirumalai, Pascal Frossard
BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
CCCG
2006
15 years 8 months ago
The Complexity of a Pop-Up Book
Origami is the centuries-old art of folding paper, and recently, it is investigated as science. In this paper, another hundreds-old art of folding paper, a pop-up book, is studied...
Ryuhei Uehara, Sachio Teramoto