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116
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VTS
2000
IEEE
113views Hardware» more  VTS 2000»
15 years 6 months ago
Hidden Markov and Independence Models with Patterns for Sequential BIST
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...
Laurent Bréhélin, Olivier Gascuel, G...
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 7 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 8 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
WWW
2006
ACM
16 years 3 months ago
Generating summaries for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photographs from a large collection of geo-referenced photos. The summary algorithm is based on spatial patter...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
NAR
2006
110views more  NAR 2006»
15 years 2 months ago
EMAGE: a spatial database of gene expression patterns during mouse embryo development
EMAGE (http://genex.hgu.mrc.ac.uk/Emage/database) is a freely available, curated database of gene expression patterns generated by in situ techniques in the developing mouse embry...
Jeffrey H. Christiansen, Yiya Yang, Shanmugasundar...