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» Learning from Highly Structured Data by Decomposition
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ICPP
1991
IEEE
15 years 3 months ago
Automatic Parallel Program Generation and Optimization from Data Decompositions
Data decomposition is probably the most successful method for generating parallel programs. In this paper a general framework is described for the automatic generation of parallel...
Edwin M. R. M. Paalvast, Henk J. Sips, Arjan J. C....
101
Voted
CVPR
2010
IEEE
15 years 7 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
DEBU
2000
95views more  DEBU 2000»
14 years 11 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
90
Voted
ICML
2004
IEEE
16 years 16 days ago
Tractable learning of large Bayes net structures from sparse data
Anna Goldenberg, Andrew Moore
CGF
1998
134views more  CGF 1998»
14 years 11 months ago
Progressive Iso-Surface Extraction from Hierarchical 3D Meshes
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
Wenli Cai, Georgios Sakas, Roberto Grosso, Thomas ...