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» A Probabilistic Segmentation Scheme
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JMLR
2006
143views more  JMLR 2006»
14 years 11 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
72
Voted
ICPR
2006
IEEE
16 years 22 days 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»
14 years 11 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
15 years 29 days 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
84
Voted
ICPR
2004
IEEE
16 years 22 days 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