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TNN
2011
137views more  TNN 2011»
14 years 8 months ago
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...
Ekaterina Vassilieva, Guillaume Pinto, J. Acacio d...
138
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CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 5 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
ICALT
2006
IEEE
15 years 7 months ago
Using IMS Learning Design to model collaborative learning activities
IMS Learning Design provides a counter to the trend towards designing for lone-learners reading from screens. It guides staff and educational developers to start not with content,...
Colin Tattersall
CIBCB
2006
IEEE
15 years 7 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
CVPR
2004
IEEE
16 years 3 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...