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» Boosting Image Retrieval
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JCDL
2003
ACM
195views Education» more  JCDL 2003»
14 years 29 days ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin
ECIR
2003
Springer
13 years 9 months ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
ICIAP
2009
ACM
14 years 8 months ago
Color Features Performance Comparison for Image Retrieval
This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different c...
Daniele Borghesani, Costantino Grana, Rita Cucchia...
ICMCS
2005
IEEE
204views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Multimedia data mining for building rule-based image retrieval systems
This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize...
Dianhui Wang, Xiaohang Ma
CVPR
2007
IEEE
14 years 9 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu