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» Spatiotemporal Novelty Detection Using Resonance Networks
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CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
14 years 2 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
ISBI
2011
IEEE
12 years 11 months ago
Structural connectivity via the tensor-based morphometry
The tensor-based morphometry (TBM) has been widely used in characterizing tissue volume difference between populations at voxel level. We present a novel computational framework f...
Seung-Goo Kim, Moo K. Chung, Jamie L. Hanson, Bria...
ICIP
2003
IEEE
14 years 1 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 7 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
MVA
2007
150views Computer Vision» more  MVA 2007»
13 years 9 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...