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» A Probabilistic Segmentation Scheme
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JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
ICPR
2006
IEEE
14 years 8 months ago
Segmentation and Probabilistic Registration of Articulated Body Models
There are different approaches to pose estimation and registration of different body parts using voxel data. We propose a general bottom-up approach in order to segment the voxels...
Aravind Sundaresan, Rama Chellappa
CORR
1998
Springer
79views Education» more  CORR 1998»
13 years 7 months ago
Linear Segmentation and Segment Significance
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a ...
Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
UAI
1998
13 years 8 months ago
Context-specific approximation in probabilistic inference
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
David Poole
ICPR
2004
IEEE
14 years 8 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng