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» A Generative Model Based Approach to Motion Segmentation
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NIPS
2008
15 years 5 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori
INTERSPEECH
2010
14 years 11 months ago
Reduction of broadband noise in speech signals by multilinear subspace analysis
A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multiline...
Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, And...
WSC
2008
15 years 6 months ago
Phrase based browsing for simulation traces of network protocols
Most discrete event simulation frameworks are able to output simulation runs as a trace. The Network Simulator 2 (NS2) is a prominent example that does so to decouple generation o...
Nathan J. Schmidt, Peter Kemper
CVPR
2006
IEEE
16 years 6 months ago
Using Bilinear Models for View-invariant Action and Identity Recognition
Human identification from gait is a challenging task in realistic surveillance scenarios in which people walking along arbitrary directions are shot by a single camera. In this pa...
Fabio Cuzzolin
ECCV
2008
Springer
16 years 6 months ago
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
This paper presents an approach for modeling landmark sites such as the Statue of Liberty based on large-scale contaminated image collections gathered from the Internet. Our system...
Xiaowei Li, Changchang Wu, Christopher Zach, Svetl...