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» Entropy-based sensor selection for localization
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DAGM
2004
Springer
13 years 10 months ago
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
Benjamin Deutsch, Matthias Zobel, Joachim Denzler,...
EMNLP
2008
13 years 6 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
JIRS
2000
121views more  JIRS 2000»
13 years 4 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
ICIP
2005
IEEE
14 years 6 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
13 years 10 months ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...