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ML
2010
ACM
175views Machine Learning» more  ML 2010»
13 years 3 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler
TROB
2010
159views more  TROB 2010»
13 years 3 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
TSP
2010
13 years 3 months ago
MIMO cognitive radio: a game theoretical approach
Abstract--The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency re...
Gesualdo Scutari, Daniel Pérez Palomar
CN
2011
331views more  CN 2011»
13 years 3 months ago
P2P vs. IP multicast: Comparing approaches to IPTV streaming based on TV channel popularity
Already a popular application in the Internet, IPTV is becoming, among the service providers, a preferred alternative to conventional broadcasting technologies. Since many of the ...
Alex Bikfalvi, Jaime García-Reinoso, Iv&aac...
ICASSP
2011
IEEE
13 years 18 days ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu