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» A Structural Analysis of Network Delay
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NIPS
2004
14 years 4 days 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
ICDAR
2009
IEEE
14 years 5 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
BC
2002
193views more  BC 2002»
13 years 10 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
BMCBI
2006
205views more  BMCBI 2006»
13 years 10 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
CSFW
2007
IEEE
14 years 5 months ago
Security Analysis of Voice-over-IP Protocols
The transmission of voice communications as datagram packets over IP networks, commonly known as Voice-overIP (VoIP) telephony, is rapidly gaining wide acceptance. With private ph...
Prateek Gupta, Vitaly Shmatikov