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» High-level approach to modeling of observed system behavior
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CVPR
2003
IEEE
16 years 8 months ago
Learning Dynamics for Exemplar-based Gesture Recognition
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
Ahmed M. Elgammal, Vinay D. Shet, Yaser Yacoob, La...
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
15 years 8 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
WOWMOM
2006
ACM
111views Multimedia» more  WOWMOM 2006»
16 years 16 days ago
An Experimental Testbed and Methodology for Characterizing IEEE 802.11 Network Cards
— It has been observed that IEEE 802.11 commercial cards produced by different vendors show a different behavior in terms of perceived throughput or access delay. Performance dif...
Antonio Di Stefano, Giovanni Terrazzino, Luca Scal...
DIMACS
1996
15 years 8 months ago
Model Checking and the Mu-calculus
There is a growing recognition of the need to apply formal mathematical methods in the design of \high con dence" computing systems. Such systems operate in safety critical co...
E. Allen Emerson
DKE
2007
130views more  DKE 2007»
15 years 6 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan