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» Analysis and Application of Adaptive Sampling
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140
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PG
2003
IEEE
15 years 10 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
DAC
2008
ACM
16 years 5 months ago
Run-time instruction set selection in a transmutable embedded processor
We are presenting a new concept of an application-specific processor that is capable of transmuting its instruction set according to non-predictive application behavior during run...
Jörg Henkel, Lars Bauer, Muhammad Shafique
ADHOC
2008
103views more  ADHOC 2008»
15 years 5 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
ECAL
1999
Springer
15 years 9 months ago
A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
Andreas Rechtsteiner, Mark A. Bedau
127
Voted
ALT
2009
Springer
15 years 8 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour