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» Acceleration techniques for dynamic vector compaction
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SARA
2007
Springer
14 years 15 days ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 13 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
EUROMICRO
1999
IEEE
13 years 10 months ago
Delft-Java Dynamic Translation
This paper describes the DELFT-JAVA processor and the mechanisms required to dynamically translate JVM instructions into DELFT-JAVA instructions. Using a form of hardware register...
C. John Glossner, Stamatis Vassiliadis
IPSN
2010
Springer
14 years 27 days ago
Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, e...
A. D. Young, M. J. Ling, D. K. Arvind
TVCG
2012
213views Hardware» more  TVCG 2012»
11 years 8 months ago
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...