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» Semi-Markov Models for Sequence Segmentation
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147
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IJCNN
2000
IEEE
15 years 7 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
146
Voted
ECCV
1992
Springer
16 years 5 months ago
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically signi cant...
Michael J. Black
150
Voted
ICML
2001
IEEE
16 years 4 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
132
Voted
CVPR
1998
IEEE
16 years 5 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
136
Voted
ICIP
2005
IEEE
16 years 5 months ago
Segmentation and appearance model building from an image sequence
In this paper we explore the problem of accurately segmenting a person from a video given only approximate location of that person. Unlike previous work which assumes that the app...
Liang Zhao, Larry S. Davis