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» Markov Random Field Modeling in Computer Vision
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ICIP
2008
IEEE
14 years 11 months ago
Efficient BP stereo with automatic paramemeter estimation
In this paper, we propose a series of techniques to enhance the computational performance of existing Belief Propagation (BP) based stereo matching that relies on automatic estima...
Shafik Huq, Andreas Koschan, Besma R. Abidi, Mongi...
DKE
2007
130views more  DKE 2007»
13 years 9 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
JMLR
2012
11 years 11 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
ICPR
2008
IEEE
14 years 3 months ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
BMVC
2000
13 years 10 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green