881 search results - page 131 / 177 » Training Deformable Models for Localization |
114
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
106
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
144
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PAKDD
2000
ACM
15 years 6 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
136
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ICIAP
2007
ACM
16 years 2 months ago
2007
ACM
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
98
Voted
CLIN
2003
15 years 3 months ago
2003
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...