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PAMI
2002
114views more  PAMI 2002»
13 years 7 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
CVPR
2009
IEEE
15 years 2 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
ETS
2009
IEEE
117views Hardware» more  ETS 2009»
13 years 5 months ago
A Two Phase Approach for Minimal Diagnostic Test Set Generation
We optimize the full-response diagnostic fault dictionary from a given test set. The smallest set of vectors is selected without loss of diagnostic resolution of the given test se...
Mohammed Ashfaq Shukoor, Vishwani D. Agrawal
ISSRE
2007
IEEE
13 years 9 months ago
Improving Constraint-Based Testing with Dynamic Linear Relaxations
Constraint-Based Testing (CBT) is the process of generating test cases against a testing objective by using constraint solving techniques. In CBT, testing objectives are given und...
Tristan Denmat, Arnaud Gotlieb, Mireille Ducass&ea...
ICANN
2009
Springer
14 years 2 months ago
Adaptive Feature Transformation for Image Data from Non-stationary Processes
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...