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AIIA
2007
Springer
15 years 9 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
RTAS
2000
IEEE
15 years 7 months ago
Design and Implementation of a Caching System for Streaming Media over the Internet
Congested networks and overloaded servers resulting from the ever growing number of Internet users contribute to the lack of good quality video streaming over the Internet. We pro...
Ethendranath Bommaiah, Katherine Guo, Markus Hofma...
ICPR
2010
IEEE
15 years 6 months ago
Learning a Joint Manifold Representation from Multiple Data Sets
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
Marwan Torki, Ahmed Elgammal, Chan-Su Lee
WSC
2004
15 years 4 months ago
Agent - Based Model of Auftragstaktik: Self Organization in Command and Control of Future Combat Forces
Agent-based modeling is a framework that allows the analysis of distributed command-by-influence using mission-type orders known for over a century as Auftragstaktik in German Arm...
Robert H. Kewley