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» Supervised Image Segmentation Using Markov Random Fields
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ICIP
1998
IEEE
16 years 1 months ago
Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations
Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas)....
Jianbo Gao, Jun Zhang, Matthew G. Fleming, Ilya Po...
JCB
2006
215views more  JCB 2006»
14 years 11 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
CVPR
2010
IEEE
15 years 4 months ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung
ICIP
1994
IEEE
16 years 1 months ago
Joint Parameter Estimation and Restoration using MRF Models and Homotopy Continuation Method
This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense tha...
P. K. Nanda, Uday B. Desai, P. G. Poonacha
CVPR
2010
IEEE
15 years 5 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun