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119
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KDD
2009
ACM
151views Data Mining» more  KDD 2009»
16 years 3 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
IPPS
2009
IEEE
15 years 10 months ago
Fast development of dense linear algebra codes on graphics processors
—We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors a...
M. Jesús Zafont, Alberto F. Martín, ...
ICCV
2007
IEEE
15 years 9 months ago
Fast Matching of Planar Shapes in Sub-cubic Runtime
The matching of planar shapes can be cast as a problem of finding the shortest path through a graph spanned by the two shapes, where the nodes of the graph encode the local simil...
Frank R. Schmidt, Dirk Farin, Daniel Cremers
99
Voted
ICPR
2002
IEEE
16 years 4 months ago
Fast Face Detection with Precise Pose Estimation
We present a fast algorithm for face detection and precise pose estimation. Our detection scheme is based on a tree-structured hierarchy of face vs. background classifiers combine...
Donald Geman, François Fleuret
CVPR
2004
IEEE
16 years 5 months ago
Fast Contour Matching Using Approximate Earth Mover's Distance
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...
Kristen Grauman, Trevor Darrell