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» Robot navigation using a sparse distributed memory
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BCEC
1997
13 years 10 months ago
Attractor Network Models of Cortical Associative Memory
Attractor network models of cortical associative memory functions have developed considerably over the past few years. Here we show that we can improve them further, in terms of c...
Anders Lansner, Erik Fransén
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 9 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
CIKM
2008
Springer
13 years 10 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
HRI
2006
ACM
14 years 2 months ago
Teaching robots by moulding behavior and scaffolding the environment
Programming robots to carry out useful tasks is both a complex and non-trivial exercise. A simple and intuitive method to allow humans to train and shape robot behaviour is clearl...
Joe Saunders, Chrystopher L. Nehaniv, Kerstin Daut...
TROB
2002
244views more  TROB 2002»
13 years 8 months ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...