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ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
UAI
2001
13 years 9 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
AISS
2010
113views more  AISS 2010»
13 years 5 months ago
The Object Replication Method for the Efficient Migration of Agent
The migration method of a mobile agent affects the entire performance of the distributed system. Most of the existing migration methods have the slow-witted structures due to the ...
Yonsik Lee, Kwangwoo Nam
ICASSP
2011
IEEE
12 years 11 months ago
A supervised approach to movie emotion tracking
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...
Nikos Malandrakis, Alexandros Potamianos, Georgios...