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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 9 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
118
Voted
DAGM
2007
Springer
15 years 9 months ago
Recursive Estimation with Implicit Constraints
Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. Howeve...
Richard Steffen, Christian Beder
113
Voted
ICA
2007
Springer
15 years 9 months ago
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Blind source extraction (BSE) is of advantages over blind source separation (BSS) when obtaining some underlying source signals from high dimensional observed signals. Among a vari...
Zhi-Lin Zhang, Liqing Zhang
137
Voted
ISVC
2007
Springer
15 years 9 months ago
Fitting the World to the Mind: Transforming Images to Mimic Perceptual Adaptation
Abstract. Visual sensitivity is constantly adjusting to the current visual context through processes of adaptation. These adaptive changes strongly affect all perceptual judgments ...
Michael A. Webster, Kyle McDermott, George Bebis
106
Voted
ICASSP
2010
IEEE
15 years 2 months ago
A new voice source model based on high-speed imaging and its application to voice source estimation
There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can...
Yen-Liang Shue, Abeer Alwan