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102
Voted
ICPR
2008
IEEE
15 years 9 months ago
A variational inference based approach for image segmentation
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu
ICPR
2008
IEEE
15 years 9 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
ISBI
2007
IEEE
15 years 8 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
SMC
2007
IEEE
15 years 8 months ago
Mental tension detection in the speech based on physiological monitoring
— The focus of this paper is mental tension detection in speech to assist control the tension in day-to-day business such as conferences and operations in a call center. It is di...
Michiaki Ariga, Yoshikazu Yano, Shinji Doki, Shige...
130
Voted
EMMCVPR
2007
Springer
15 years 8 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann