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» Decision Detection Using Hierarchical Graphical Models
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AAAI
1996
15 years 2 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
SIBGRAPI
2008
IEEE
15 years 7 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
MMM
2009
Springer
120views Multimedia» more  MMM 2009»
15 years 10 months ago
Multimedia Evidence Fusion for Video Concept Detection via OWA Operator
Abstract. We present a novel multi-modal evidence fusion method for highlevel feature (HLF) detection in videos. The uni-modal features, such as color histogram, transcript texts, ...
Ming Li, Yantao Zheng, Shouxun Lin, Yong-Dong Zhan...
EPIA
1995
Springer
15 years 5 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
116
Voted
CVPR
2005
IEEE
16 years 3 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit