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AMC
2007
138views more  AMC 2007»
15 years 6 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
225
Voted
SIGECOM
2010
ACM
170views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Optimal online assignment with forecasts
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasu...
PRL
2006
207views more  PRL 2006»
15 years 6 months ago
On-line trajectory clustering for anomalous events detection
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Claudio Piciarelli, Gian Luca Foresti
199
Voted
EWRL
2008
15 years 8 months ago
Policy Learning - A Unified Perspective with Applications in Robotics
Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
Jan Peters, Jens Kober, Duy Nguyen-Tuong
IJCAI
2001
15 years 8 months ago
Rational and Convergent Learning in Stochastic Games
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
Michael H. Bowling, Manuela M. Veloso