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107
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IVC
2002
91views more  IVC 2002»
15 years 3 months ago
Compensating for ensemble-specific effects when building facial models
When attempting to code faces for modeling or recognition, estimates of dimensions are typically obtained from an ensemble. These tend to be significantly sub-optimal. Firstly, en...
Nicholas Costen, Timothy F. Cootes, Christopher J....
107
Voted
ICPR
2002
IEEE
16 years 4 months ago
Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras
We present a distributed, surveillance system that works in large and complex indoor environments. To track and recognize behaviors of people, we propose the use of the Hidden Mar...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
PAMI
2008
182views more  PAMI 2008»
15 years 3 months ago
A Hierarchical Compositional Model for Face Representation and Sketching
This paper presents a hierarchical-compositional model of human faces, as a three-layer AND-OR graph to account for the structural variabilities over multiple resolutions. In the A...
Zijian Xu, Hong Chen, Song Chun Zhu, Jiebo Luo
123
Voted
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 4 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
ICIP
2004
IEEE
16 years 5 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio