1371 search results - page 119 / 275 » A Model for Large Scale Self-Stabilization |
181
Voted
EMNLP
2008
15 years 5 months ago
2008
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
141
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
134
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ICMCS
2005
IEEE
15 years 9 months ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
229
Voted
SIGMOD
2009
ACM
16 years 4 months ago
2009
ACM
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
128
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ICIP
2003
IEEE
15 years 9 months ago
2003
IEEE
This paper introduces a new approach to automatic car detection in monocular large scale aerial images. The extraction is based on a hierarchical 3D-model that describes the promi...