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» On the Locality of Representations
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106
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CVPR
2005
IEEE
15 years 6 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
SIGGRAPH
2000
ACM
15 years 4 months ago
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques. This deformation approach proceeds from the observ...
John P. Lewis, Matt Cordner, Nickson Fong
82
Voted
FLAIRS
2004
15 years 2 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
ENTCS
2007
126views more  ENTCS 2007»
15 years 20 days ago
Nominal Reasoning Techniques in Coq: (Extended Abstract)
d Abstract) Brian Aydemir Aaron Bohannon Stephanie Weirich Department of Computer and Information Science University of Pennsylvania Philadelphia, PA, USA We explore an axiomatize...
Brian E. Aydemir, Aaron Bohannon, Stephanie Weiric...
CVPR
2001
IEEE
16 years 2 months ago
Learning Probabilistic Distribution Model for Multi-View Face Detection
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
Lie Gu, Stan Z. Li, HongJiang Zhang