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17 years 4 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 11 months ago
Modeling and motion stability analysis of skid-steered mobile robots
Abstract— Skid-steered mobile robots are widely used because of the simplicity of mechanism and high reliability. However, understanding of the kinematics and dynamics of such a ...
Hongpeng Wang, Junjie Zhang, Jingang Yi, Dezhen So...
AIME
2007
Springer
15 years 11 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...
TCIAIG
2010
14 years 12 months ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang
ISBI
2006
IEEE
16 years 5 months ago
Iterative finite element deformable model for nonrigid coregistration of multimodal breast images
We have developed a nonrigid registration technique applicable to breast tissue imaging. It relies on a finite element method (FEM) model and a set of fiducial skin markers (FSMs)...
Alphonso Magri, Andrzej Król, David H. Feig...