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ARCS
2005
Springer
14 years 2 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
IEEEIAS
2008
IEEE
14 years 3 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
HVEI
2010
13 years 7 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
INFOCOM
2009
IEEE
14 years 3 months ago
Analysis of Adaptive Incentive Protocols for P2P Networks
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
Ben Q. Zhao, John C. S. Lui, Dah-Ming Chiu