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» Objective reduction using a feature selection technique
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MVA
2008
140views Computer Vision» more  MVA 2008»
14 years 10 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Internet Traffic Classification for Scalable QOS Provision
A new scheme that classifies the Internet traffic according to their application types for scalable QoS provision is proposed in this work. The traditional port-based classific...
Junghun Park, Hsiao-Rong Tyan, C. C. Jay Kuo
CVIU
2004
155views more  CVIU 2004»
14 years 9 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
DCOSS
2006
Springer
15 years 1 months ago
Optimal Placement and Selection of Camera Network Nodes for Target Localization
The paper studies the optimal placement of multiple cameras and the selection of the best subset of cameras for single target localization in the framework of sensor networks. The ...
Ali Ozer Ercan, Danny B. Yang, Abbas El Gamal, Leo...
PR
2010
186views more  PR 2010»
14 years 8 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang