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» How Local Should a Learning Method Be
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104
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NIPS
2007
15 years 3 months ago
Bayesian Co-Training
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
Shipeng Yu, Balaji Krishnapuram, Rómer Rosa...
ICRA
2008
IEEE
137views Robotics» more  ICRA 2008»
15 years 8 months ago
SVM-based discriminative accumulation scheme for place recognition
— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
Andrzej Pronobis, Óscar Martínez Moz...
AGENTS
1997
Springer
15 years 6 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
ISWC
2000
IEEE
15 years 6 months ago
Wearable Phased Arrays for Sound Localization and Enhancement
We present the idea of a flexible phased array of microphones for wearable computers. We show how such an array can be used for both source localization and signal enhancement. A...
Sumit Basu, Steven J. Schwartz, Alex Pentland
96
Voted
BCSHCI
2008
15 years 3 months ago
HCI for technology enhanced learning
The involvement of technology to support and enhance learning is ever increasing; for example moving from the traditional blackboard to electronic whiteboards, from printed books ...
Willem-Paul Brinkman, Charles van der Mast, Annett...