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99
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IROS
2008
IEEE
125views Robotics» more  IROS 2008»
15 years 7 months ago
Neighborhood denoising for learning high-dimensional grasping manifolds
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
Aggeliki Tsoli, Odest Chadwicke Jenkins
VLDB
2006
ACM
172views Database» more  VLDB 2006»
16 years 1 months ago
Hierarchical hippocratic databases with minimal disclosure for virtual organizations
Abstract The protection of customer privacy is a fundamental issue in today's corporate marketing strategies. Not surprisingly, many research efforts have proposed new privacy...
Fabio Massacci, John Mylopoulos, Nicola Zannone
70
Voted
BC
2010
85views more  BC 2010»
14 years 10 months ago
Controlling precise movement with stochastic signals
In a noisy system, such as the nervous system, can movements be precisely controlled as experimentally demonstrated? We point out that the existing theory of motor control fails to...
Enrico Rossoni, Jing Kang, Jianfeng Feng
NN
1998
Springer
15 years 13 days ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
108
Voted
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 4 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule