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» Learning from Highly Structured Data by Decomposition
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TNN
2010
233views Management» more  TNN 2010»
14 years 10 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...
ACL
2008
15 years 5 months ago
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
This paper studies textual inference by investigating comma structures, which are highly frequent elements whose major role in the extraction of semantic relations has not been hi...
Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Ra...
JMLR
2012
13 years 6 months ago
A Bayesian Analysis of the Radioactive Releases of Fukushima
The Fukushima Daiichi disaster 11 March, 2011 is considered the largest nuclear accident since the 1986 Chernobyl disaster and has been rated at level 7 on the International Nucle...
Ryota Tomioka, Morten Mørup
JEI
2008
109views more  JEI 2008»
15 years 2 months ago
New approach for liveness detection in fingerprint scanners based on valley noise analysis
Recent research has shown that it is possible to spoof a variety of fingerprint scanners using some simple techniques with molds made from plastic, clay, Play-Doh, silicon, or gela...
Bozhao Tan, Stephanie A. C. Schuckers
DATAMINE
2002
169views more  DATAMINE 2002»
15 years 3 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish