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» Markov Random Field Models in Computer Vision
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CORR
2006
Springer
107views Education» more  CORR 2006»
15 years 1 months ago
The Multiple Access Channel with Feedback and Correlated Sources
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...
Lawrence Ong, Mehul Motani
BMVC
1998
15 years 3 months ago
A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
ICCV
2007
IEEE
16 years 3 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
CVPR
2011
IEEE
14 years 10 months ago
Real Time Head Pose Estimation with Random Regression Forests
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Gabriele Fanelli, Juergen Gall, Luc VanGool
ICPR
2008
IEEE
15 years 8 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun