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ICCV
2009
IEEE
13 years 5 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
JSAC
2010
78views more  JSAC 2010»
13 years 6 months ago
Evolution of Internet Address Space Deaggregation: Myths and Reality
—Internet routing table size growth and BGP update churn are two prominent Internet scaling issues. There is widespread belief in a high and fast growing number of ASs that deagg...
Luca Cittadini, Wolfgang Mühlbauer, Steve Uhl...
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 2 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
ICRA
2006
IEEE
130views Robotics» more  ICRA 2006»
14 years 1 months ago
Anytime Path Planning and Replanning in Dynamic Environments
— We present an efficient, anytime method for path planning in dynamic environments. Current approaches to planning in such domains either assume that the environment is static ...
Jur P. van den Berg, Dave Ferguson, James Kuffner
CIG
2005
IEEE
14 years 1 months ago
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners
— We study by computer simulation a population of individuals playing the prisoner’s dilemma game. Each player has an invariable strategy (cooperate or defect) but the network ...
Leslie Luthi, Mario Giacobini, Marco Tomassini