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» Robust Centerline Extraction Framework Using Level Sets
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ICASSP
2010
IEEE
13 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
NIPS
2004
13 years 8 months ago
Surface Reconstruction using Learned Shape Models
We consider the problem of geometrical surface reconstruction from one or several images using learned shape models. While humans can effortlessly retrieve 3D shape information, t...
Jan Erik Solem, Fredrik Kahl
GRID
2004
Springer
14 years 26 days ago
MARS: A Metascheduler for Distributed Resources in Campus Grids
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Abhijit Bose, Brian Wickman, Cameron Wood
SAC
2005
ACM
14 years 1 months ago
Performance analysis framework for large software-intensive systems with a message passing paradigm
The launch of new features for mobile phones is increasing and the product life cycle symmetrically decreasing in duration as higher levels of sophistication are reached. Therefor...
Christian Del Rosso
MUC
1991
13 years 11 months ago
University of Massachusetts: description of the CIRCUS system as used for MUC-3
ind this work was to extract a relatively abstract level of information from each sentence , using only a limited vocabulary that was hand-crafted to handle a restricted set of tar...
Wendy G. Lehnert, Claire Cardie, David Fisher, Ell...