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» Input Modeling Using Quantile Statistical Methods
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ICML
2006
IEEE
16 years 1 months ago
Online decoding of Markov models under latency constraints
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
Mukund Narasimhan, Paul A. Viola, Michael Shilman
94
Voted
MASCOTS
2007
15 years 2 months ago
PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers
— We present a tool, PerfCenter, that takes as input the deployment, configuration, message flow and workload details of the hardware and software servers in an application hos...
Rukma Prabhu Verlekar, Varsha Apte, Prakhar Goyal,...
87
Voted
TSP
2010
14 years 7 months ago
Testing stationarity with surrogates: a time-frequency approach
An operational framework is developed for testing stationarity relatively to an observation scale, in both stochastic and deterministic contexts. The proposed method is based on a ...
Pierre Borgnat, Patrick Flandrin, Paul Honeine, C&...
ISBI
2008
IEEE
16 years 1 months ago
Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches
Image registration algorithms provide a displacement field between two images. We consider the problem of estimating accuracy of the calculated displacement field from the input i...
Jan Kybic
SGP
2004
15 years 3 months ago
Simplification and Improvement of Tetrahedral Models for Simulation
Most 3D mesh generation techniques require simplification and mesh improvement stages to prepare a tetrahedral model for efficient simulation. We have developed an algorithm that ...
Barbara Cutler, Julie Dorsey, Leonard McMillan