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» A probabilistic framework for image segmentation
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
CVPR
2006
IEEE
14 years 2 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
JMIV
2006
166views more  JMIV 2006»
13 years 8 months ago
Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths
We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two or more known curves (the constrai...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
ICCV
2009
IEEE
13 years 5 months ago
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation
In the context of variational image segmentation, we propose a new finite-dimensional implicit surface representation. The key idea is to span a subset of implicit functions with ...
Benoit Mory, Roberto Ardon, Anthony J. Yezzi, Jean...