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IJCAI
2003
13 years 9 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
CVIU
2007
121views more  CVIU 2007»
13 years 7 months ago
Background estimation under rapid gain change in thermal imagery
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow...
Hulya Yalcin, Robert T. Collins, Martial Hebert
SIGIR
2004
ACM
14 years 1 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 18 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
SIGIR
2003
ACM
14 years 27 days ago
Fractal summarization: summarization based on fractal theory
In this paper, we introduce the fractal summarization model based on the fractal theory. In fractal summarization, the important information is captured from the source text by ex...
Christopher C. Yang, Fu Lee Wang