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» Boosting Object Detection Using Feature Selection
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ECML
2005
Springer
13 years 10 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
PAMI
2007
166views more  PAMI 2007»
13 years 8 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila
ICRA
2006
IEEE
154views Robotics» more  ICRA 2006»
14 years 2 months ago
Qualitative Vision-based Mobile Robot Navigation
— We present a novel, simple algorithm for mobile robot navigation. Using a teach-replay approach, the robot is manually led along a desired path in a teaching phase, then the ro...
Zhichao Chen, Stanley T. Birchfield
AVSS
2007
IEEE
13 years 8 months ago
People tracking across two distant self-calibrated cameras
People tracking is of fundamental importance in multicamera surveillance systems. In recent years, many approaches for multi-camera tracking have been discussed. Most methods use ...
Roman P. Pflugfelder, Horst Bischof
SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Diane Lingrand, Johan Montagnat