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» Bipartite Graphs as Models of Complex Networks
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ICTAI
2009
IEEE
14 years 3 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
SOSYM
2002
188views more  SOSYM 2002»
13 years 8 months ago
Extending the Unified Modeling Language for ontology development
Abstract. There is rapidly growing momentum for web enabled agents that reason about and dynamically integrate the appropriate knowledge and services at run-time. The dynamic integ...
Kenneth Baclawski, Mieczyslaw M. Kokar, Paul A. Ko...
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
14 years 9 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
AVSS
2008
IEEE
14 years 3 months ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
SIGCOMM
2004
ACM
14 years 2 months ago
A first-principles approach to understanding the internet's router-level topology
A detailed understanding of the many facets of the Internet’s topological structure is critical for evaluating the performance of networking protocols, for assessing the effecti...
Lun Li, David Alderson, Walter Willinger, John Doy...