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JMLR
2012
13 years 9 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
ECCV
2002
Springer
16 years 8 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICIP
2006
IEEE
16 years 8 months ago
Foveated Analysis and Selection of Visual Fixations in Natural Scenes
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
ICSE
2008
IEEE-ACM
16 years 7 months ago
jPredictor: a predictive runtime analysis tool for java
JPREDICTOR is a tool for detecting concurrency errors in JAVA programs. The JAVA program is instrumented to emit property-relevant events at runtime and then executed. The resulti...
Feng Chen, Traian-Florin Serbanuta, Grigore Rosu
SIGSOFT
2009
ACM
16 years 7 months ago
Reo2MC: a tool chain for performance analysis of coordination models
In this paper, we present Reo2MC, a tool chain for the performance evaluation of coordination models. Given a coordination model represented by a stochastic Reo connector, Reo2MC ...
Farhad Arbab, Sun Meng, Young-Joo Moon, Marta Z. K...