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ICML
2006
IEEE
14 years 8 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
CVPR
2007
IEEE
14 years 10 months ago
Searching Video for Complex Activities with Finite State Models
We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach...
Nazli Ikizler, David A. Forsyth
ALT
1998
Springer
14 years 7 days ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
CCGRID
2008
IEEE
13 years 10 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
IPPS
2006
IEEE
14 years 2 months ago
Dynamic performance prediction of an adaptive mesh application
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
Mark M. Mathis, Darren J. Kerbyson