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» Learning Models for Predicting Recognition Performance
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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 8 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
CVPR
2007
IEEE
16 years 5 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 9 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...
ICML
2009
IEEE
15 years 10 months ago
Active learning for directed exploration of complex systems
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
Michael C. Burl, Esther Wang
BMCBI
2010
146views more  BMCBI 2010»
15 years 3 months ago
A pairwise residue contact area-based mean force potential for discrimination of native protein structure
Background: Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-base...
Shahriar Arab, Mehdi Sadeghi, Changiz Eslahchi, Ha...