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» Learning a Classification Model for Segmentation
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145
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CVPR
2006
IEEE
15 years 10 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
137
Voted
AAAI
2007
15 years 7 months ago
Gender-Sensitive Automated Negotiators
This paper introduces an innovative approach for automated negotiating using the gender of human opponents. Our approach segments the information acquired from previous opponents,...
Ron Katz, Sarit Kraus
131
Voted
CHI
2005
ACM
16 years 5 months ago
Extending tangible interfaces for education: digital montessori-inspired manipulatives
This paper introduces a new framework for thinking about tangible interfaces in education, with specific focus on problem domains. Manipulatives are physical objects specifically ...
Oren Zuckerman, Saeed Arida, Mitchel Resnick
CVIU
2008
126views more  CVIU 2008»
15 years 4 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
BMCBI
2004
113views more  BMCBI 2004»
15 years 4 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...