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» Structural Learning of Activities from Sparse Datasets
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CVPR
2007
IEEE
14 years 10 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
TIP
2011
255views more  TIP 2011»
13 years 3 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
GCB
2009
Springer
139views Biometrics» more  GCB 2009»
14 years 19 days ago
Graph-Kernels for the Comparative Analysis of Protein Active Sites
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke...
SIGCSE
1996
ACM
163views Education» more  SIGCSE 1996»
14 years 27 days ago
Database theory in practice: learning from cooperative group projects
lhis paper describes the use of cooperative group learning concepts in support of an undergraduate database mrtnagement course that emphasizes the theoretical and practical aspect...
Suzanne W. Dietrich, Susan Darling Urban
BXML
2003
13 years 10 months ago
V-Grid-A Versioning Services Framework for the Grid
: A large variety of emerging Computational Grid applications require versioning services to support effective management of constantly changing datasets and implementations of dat...
Jernej Kovse, Theo Härder