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» Objective reduction using a feature selection technique
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CVPR
2001
IEEE
14 years 10 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
IPPS
2007
IEEE
14 years 2 months ago
A Semi-Distributed Axiomatic Game Theoretical Mechanism for Replicating Data Objects in Large Distributed Computing Systems
Replicating data objects onto servers across a system can alleviate access delays. The selection of data objects and servers requires solving a constraint optimization problem, wh...
Samee Ullah Khan, Ishfaq Ahmad
IIE
2008
88views more  IIE 2008»
13 years 7 months ago
Development of Generative Learning Objects Using Feature Diagrams and Generative Techniques
Abstract. Learning Objects (LOs) play a key role for supporting eLearning. In general, however, the development of LOs remains a vague issue, because there is still no clearly defi...
Vytautas Stuikys, Robertas Damasevicius
PAMI
2002
124views more  PAMI 2002»
13 years 7 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
AMFG
2005
IEEE
218views Biometrics» more  AMFG 2005»
14 years 1 months ago
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Alex Po Leung, Shaogang Gong