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» Information theory after Shannon
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106
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CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
15 years 4 months ago
Stochastic control over finite capacity channels: Causality, feedback and uncertainty
Abstract-- Optimal communication/control analysis and design of dynamical controlled systems, when there are finite capacity communication constraints often involve information and...
Charalambos D. Charalambous, Christos K. Kourtella...
101
Voted
DAGM
2001
Springer
15 years 5 months ago
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition
In this paper we introduce a formalism for optimal camera parameter selection for iterative state estimation. We consider a framework based on Shannon’s information theory and se...
Joachim Denzler, Christopher M. Brown, Heinrich Ni...
115
Voted
HCI
2009
14 years 10 months ago
Adaptive Learning via Social Cognitive Theory and Digital Cultural Ecosystems
This paper will look at the human predisposition to oral tradition and its effectiveness as a learning tool to convey mission-critical information. After exploring the effectivenes...
Joseph Juhnke, Adam R. Kallish
TIT
1998
102views more  TIT 1998»
15 years 7 days ago
On Characterization of Entropy Function via Information Inequalities
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...
Zhen Zhang, Raymond W. Yeung
80
Voted
ENC
2003
IEEE
15 years 5 months ago
Efficient Compression from Non-ergodic Sources with Genetic Algorithms
Several lossless data compression schemes have been proposed over the past years. Since Shannon developed information theory in his seminal paper, however, the problem of data com...
Angel Fernando Kuri Morales