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CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 10 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
TVCG
2010
186views more  TVCG 2010»
13 years 8 months ago
An Information-Theoretic Framework for Flow Visualization
—The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algori...
Lijie Xu, Teng-Yok Lee, Han-Wei Shen
CSSE
2008
IEEE
14 years 4 months ago
A Markov Game Theory-Based Risk Assessment Model for Network Information System
—Risk assessment is a very important tool to acquire a present and future security status of the network information system. Many risk assessment approaches consider the present ...
Cui Xiaolin, Xiaobin Tan, Zhang Yong, Hongsheng Xi
PAMI
2002
124views more  PAMI 2002»
13 years 9 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
14 years 4 months ago
Entropy-based visual servoing
— In this work we propose a new way to achieve visual servoing using directly the information (as defined by Shannon) of the image. A metric derived from information theory, mut...
Amaury Dame, Éric Marchand