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» Learning Object Context for Adaptive Learning Design
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AGENTS
1997
Springer
14 years 1 months ago
Adaptable Local Level Arbitration of Behaviors
During the last few years, and in an attempt to provide an ecient alternative to classical methods to designing robot control structures, the behavior-based approach has emerged....
Mohamed Salah Hamdi, Karl Kaiser
CVPR
2010
IEEE
14 years 1 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 3 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
CVPR
2007
IEEE
14 years 11 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 7 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh