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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 6 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
147
Voted
SIGMOD
2011
ACM
221views Database» more  SIGMOD 2011»
14 years 6 months ago
Scalable query rewriting: a graph-based approach
In this paper we consider the problem of answering queries using views, which is important for data integration, query optimization, and data warehouses. We consider its simplest ...
George Konstantinidis, José Luis Ambite
190
Voted
3DIM
2011
IEEE
14 years 3 months ago
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes
—Keypoints on 3D surfaces are points that can be extracted repeatably over a wide range of 3D imaging conditions. They are used in many 3D shape processing applications; for exam...
Clement Creusot, Nick Pears, Jim Austin
3DIM
2011
IEEE
14 years 3 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
132
Voted
AAAI
2011
14 years 3 months ago
Stopping Rules for Randomized Greedy Triangulation Schemes
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
Andrew Gelfand, Kalev Kask, Rina Dechter