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NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
I3E
2003
77views Business» more  I3E 2003»
13 years 8 months ago
Who are the Internet Content Providers?
: The Internet continues its growth as a medium for the sale of goods and services – and yet, although it would seem that digital content was one of the most obvious products for...
Cornelia C. Krueger, Paula M. C. Swatman
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
Background: The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information ...
Jiye Ai, Barry Smith, Wong T. David
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
CAD
2010
Springer
13 years 7 months ago
AR interfacing with prototype 3D applications based on user-centered interactivity
Augmented Reality (AR) has been acclaimed as one of the promising technologies for advancing future UbiComp (Ubiquitous Computing) environments. Despite a myriad of AR application...
Seungjun Kim, Anind K. Dey