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Displaying 1 - 16 of 16

Creating HAVIC: Heterogeneous Audio Visual Internet Collection

May 21, 2012
Author(s)
Stephanie Strassel, Amanda Morris, Jonathan G. Fiscus, Christopher Caruso, Haejoong Lee, Paul D. Over, James Fiumara, Barbara L. Shaw, Brian Antonishek, Martial Michel
Linguistic Data Consortium and the National Institute of Standards and Technology are collaborating to create a large, heterogeneous annotated multimodal corpus to support research in multimodal event detection and related technologies. The HAVIC

A DATA FLOW IMPLEMENTATION OF AGENT-BASED DISTRIBUTED GRAPH SEARCH

November 4, 2009
Author(s)
Imad Hamchi, Mathieu Hoarau, Antoine Fillinger, Nicolas Crouzier, Lukas Diduch, Martial Michel, Vincent M. Stanford
Biological ants organize themselves into forager groups that converge to shortest paths to and from food sources. This has motivated development a large class of biologically inspired agent-based graph search techniques, called Ant Colony Optimization, to

The CLEAR 2007 Evaluation

March 31, 2008
Author(s)
Rainer Stiefelhagen, Keni Bernardin, R Bowers, Richard T. Rose, Martial Michel, John S. Garofolo
This paper is a summary of the 2007 CLEAR Evaluation on the Classification of Events, Activities, and Relationships which took place in early 2007 and culminated with a two-day workshop held in May 2007. CLEAR is an international effort to evaluate systems

Network Transfer of Control Data: An Application of the NIST Smart Data Flow

July 1, 2003
Author(s)
Martial Michel, Vincent M. Stanford, O P. Galibert
Pervasive Computing environments range from basic mobile point of sale terminal systems, to rich Smart Spaces with many devices and sensors such as lapel microphones, audio and video sensor arrays and multiple interactive PDA acting as electronic brief

A Genetic Programming Ecosystem

April 1, 2001
Author(s)
J E. Devaney, John G. Hagedorn, O P. Nicolas, G Garg, A Samson, Martial Michel
Algorithms are needed in every aspect of parallel computing. Genetic Programmingis an evolutionary technique for automating the design of algorithms throughiterative steps of mutation and crossover operations on an initial population of randomly generated
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