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» Measuring the Complexity of Classification Problems
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ACCV
2006
Springer
14 years 2 months ago
Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...
Hesam Najafi, Yakup Genc, Nassir Navab
SODA
2004
ACM
115views Algorithms» more  SODA 2004»
13 years 9 months ago
Minimizing the stabbing number of matchings, trees, and triangulations
The (axis-parallel) stabbing number of a given set of line segments is the maximum number of segments that can be intersected by any one (axis-parallel) line. We investigate probl...
Sándor P. Fekete, Marco E. Lübbecke, H...
IJHPCA
2006
73views more  IJHPCA 2006»
13 years 8 months ago
The Tau Parallel Performance System
The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provid...
Sameer Shende, Allen D. Malony
ICCV
2007
IEEE
14 years 10 months ago
High Detection-rate Cascades for Real-Time Object Detection
A new strategy is proposed for the design of cascaded object detectors of high detection-rate. The problem of jointly minimizing the false-positive rate and classification complex...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ECCV
2008
Springer
14 years 10 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof