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» Evolution with Drifting Targets
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ADC
2006
Springer
123views Database» more  ADC 2006»
15 years 3 months ago
Recency-based collaborative filtering
Collaborative filtering is regarded as one of the most promising recommendation algorithms. Traditional approaches for collaborative filtering do not take concept drift into acc...
Yi Ding, Xue Li, Maria E. Orlowska
NOTERE
2010
14 years 4 months ago
Experimental assessment of the TARGET adaptive ontology-based Web search framework
Finding relevant information on the Web can be a complex task for most of the users. Although Web search applications are improving, they still need to be more intelligent to adapt...
Nicolas Guelfi, Cédric Pruski, Chantal Reyn...
CIMAGING
2008
122views Hardware» more  CIMAGING 2008»
14 years 11 months ago
Online consistency checking for AM-FM target tracks
We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection proce...
Nick A. Mould, Chuong T. Nguyen, Colin M. Johnston...
IBPRIA
2007
Springer
15 years 3 months ago
Robust Multiple-People Tracking Using Colour-Based Particle Filters
Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appe...
Daniel Rowe, Ivan Huerta Casado, Jordi Gonzà...
FLAIRS
2006
14 years 11 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi