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» A Markov Random Field Model for Automatic Speech Recognition
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CVPR
2008
IEEE
14 years 10 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
CVPR
2007
IEEE
14 years 6 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...

Presentation
1518views
15 years 9 months ago
Stochastic Segmentation of Blood Vessels From Time-of-Flight
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna
ICIP
2008
IEEE
14 years 9 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...
ICPR
2004
IEEE
14 years 9 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng