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ICML
2005
IEEE
16 years 7 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
168
Voted
CVPR
2010
IEEE
16 years 3 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
SAC
2004
ACM
16 years 5 days ago
Boundary extraction in thermal images by edge map
Extracting object boundaries in thermal images is a challenging task because of the amorphous nature of the images and the lack of sharp boundaries. Classical edge-based segmentat...
Quming Zhou, Zhuojing Li, Jake K. Aggarwal
ECCV
2006
Springer
16 years 8 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
MIA
2011
170views more  MIA 2011»
15 years 1 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...