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» The Dark Side of Object Learning: Learning Objects
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124
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ICML
2010
IEEE
15 years 4 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller
160
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AR
2007
204views more  AR 2007»
15 years 3 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
167
Voted
JCM
2006
179views more  JCM 2006»
15 years 3 months ago
Collaborative Allocation of Orthogonal Frequency Division Multiplex Sub-Carriers using the Swarm Intelligence
Abstract-- Future generations of wireless systems require opportunistic spectrum access techniques to effectively detect and access temporarily unused spectrum bands. Cognitive rad...
J. C. Dunat, David Grandblaise, Christian Bonnet
134
Voted
KES
2008
Springer
15 years 3 months ago
Adventures in the Boundary between Domain-Independent Ontologies and Domain Content for CSCL
One of the main problems facing the development of ontology-aware authoring systems (OAS) is to link well-designed domain-independent knowledge (ontologies) with domain content. Su...
Seiji Isotani, Riichiro Mizoguchi
137
Voted
NPL
2006
109views more  NPL 2006»
15 years 3 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez