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» A Method for Proving Observational Equivalence
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BMCBI
2006
140views more  BMCBI 2006»
13 years 9 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
CVPR
2009
IEEE
15 years 4 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
ICML
2009
IEEE
14 years 9 months ago
Predictive representations for policy gradient in POMDPs
We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
Abdeslam Boularias, Brahim Chaib-draa
SAFECOMP
2007
Springer
14 years 3 months ago
Modeling and Automatic Failure Analysis of Safety-Critical Systems Using Extended Safecharts
With the rapid progress in science and technology, we find ubiquitous use of safety-critical systems in avionics, consumer electronics, and medical instruments. In such systems, u...
Yean-Ru Chen, Pao-Ann Hsiung, Sao-Jie Chen
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
14 years 2 months ago
Exactly Sparse Delayed-State Filters
— This paper presents the novel insight that the SLAM information matrix is exactly sparse in a delayedstate framework. Such a framework is used in view-based representations of ...
Ryan Eustice, Hanumant Singh, John J. Leonard