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» Extractive summarization using a latent variable model
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PAMI
2008
156views more  PAMI 2008»
13 years 7 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
TACAS
2005
Springer
124views Algorithms» more  TACAS 2005»
14 years 1 months ago
Localization and Register Sharing for Predicate Abstraction
ion Himanshu Jain1,2 , Franjo Ivanˇci´c1 , Aarti Gupta1 , and Malay K. Ganai1 1 NEC Laboratories America, Inc., 4 Independence Way, Princeton, NJ 08540 2 School of Computer Scien...
Himanshu Jain, Franjo Ivancic, Aarti Gupta, Malay ...
ECCV
2004
Springer
14 years 9 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
ICASSP
2011
IEEE
12 years 11 months ago
Authentication of fingerprint scanners
Fingerprint scanners have unique patterns that can be used to distinguish one scanner from another one. The pattern, which we call scanner pattern, stems from the variability of d...
Vladimir I. Ivanov, John S. Baras
CVPR
2010
IEEE
14 years 3 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino