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WSC
2004
13 years 9 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer
PR
2011
13 years 2 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
IJCV
2008
106views more  IJCV 2008»
13 years 7 months ago
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
Given an image sequence of a scene consisting of multiple rigidly moving objects, multi-body structure-and-motion (MSaM) is the task to segment the image feature tracks into the d...
Konrad Schindler, David Suter, Hanzi Wang
ECCV
1998
Springer
14 years 9 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
ICPR
2006
IEEE
14 years 9 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai