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» Multiple target detection using Bayesian learning
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ICDAR
2009
IEEE
13 years 7 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
ICPR
2004
IEEE
14 years 11 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
3DPVT
2006
IEEE
276views Visualization» more  3DPVT 2006»
14 years 4 months ago
Dynamic 3D Urban Scene Modeling Using Multiple Pushbroom Mosaics
In this paper, a unified, segmentation-based approach is proposed to deal with both stereo reconstruction and moving objects detection problems using multiple stereo mosaics. Each...
Hao Tang, Zhigang Zhu, George Wolberg
JMLR
2010
126views more  JMLR 2010»
13 years 4 months ago
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
Mladen Kolar, Eric P. Xing
ECCV
2004
Springer
14 years 11 months ago
Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
Abstract. This paper presents a method for tracking multiple skincolored objects in images acquired by a possibly moving camera. The proposed method encompasses a collection of tec...
Antonis A. Argyros, Manolis I. A. Lourakis