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ADCM
2008
136views more  ADCM 2008»
15 years 4 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
143
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AMAI
2007
Springer
15 years 4 months ago
Decision procedures for extensions of the theory of arrays
The theory of arrays, introduced by McCarthy in his seminal paper “Toward a mathematical science of computation”, is central to Computer Science. Unfortunately, the theory alo...
Silvio Ghilardi, Enrica Nicolini, Silvio Ranise, D...
AR
2007
99views more  AR 2007»
15 years 4 months ago
Experience-based imitation using RNNPB
Abstract— Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human w...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
15 years 4 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
BIOINFORMATICS
2007
76views more  BIOINFORMATICS 2007»
15 years 4 months ago
Optimization of primer design for the detection of variable genomic lesions in cancer
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...