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BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
TSP
2011
90views more  TSP 2011»
13 years 2 months ago
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning
—Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a...
Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng ...
TSE
2010
120views more  TSE 2010»
13 years 2 months ago
Efficient Software Verification: Statistical Testing Using Automated Search
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are g...
Simon M. Poulding, John A. Clark
WSCG
2004
141views more  WSCG 2004»
13 years 9 months ago
Efficient Generation of Triangle Strips from Triangulated Meshes
This paper presents a fast algorithm for generating triangle strips from triangulated meshes, providing a compact representation suitable for transmission and rendering of the mod...
Oliver Matias van Kaick, Murilo Vicente Gonç...
PAMI
2008
215views more  PAMI 2008»
13 years 7 months ago
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
Brent C. Munsell, Pahal Dalal, Song Wang