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» Optimizing for parallelism and data locality
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98
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ICPR
2008
IEEE
16 years 2 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
94
Voted
ISLPED
1997
ACM
95views Hardware» more  ISLPED 1997»
15 years 5 months ago
Formalized methodology for data reuse exploration in hierarchical memory mappings
Efficient use of an optimized memory hierarchy to exploit temporal locality in the memory accesses on array signals can have a very large impact on the power consumption in data ...
Jean-Philippe Diguet, Sven Wuytack, Francky Cattho...
101
Voted
ICRA
2006
IEEE
119views Robotics» more  ICRA 2006»
15 years 6 months ago
Polygonal Approximation of Laser Range Data based on Perceptual Grouping and EM
— Our goal is polygonal approximation of laser range data points obtained by a mobile robot. The proposed approach provides a precise estimation of the number of model components...
Longin Jan Latecki, Rolf Lakämper
128
Voted
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 1 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
ISVC
2007
Springer
15 years 7 months ago
Image Compression Using Data-Dependent Triangulations
We present a method to speed up the computation of a high-quality data-dependent triangulation approximating an image using simulated annealing by probability distributions guided ...
Burkhard Lehner, Georg Umlauf, Bernd Hamann