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MMM
2005
Springer
202views Multimedia» more  MMM 2005»
14 years 3 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
CAIP
1999
Springer
139views Image Analysis» more  CAIP 1999»
14 years 2 months ago
Image Retrieval System Based on Machine Learning and Using Color Features
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
Janez Demsar, Dragan Radolovic, Franc Solina
CVPR
2007
IEEE
14 years 11 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...
ECIR
1998
Springer
13 years 11 months ago
Content Based Annotation and Retrieval in RAIDER
A new system, RAIDER (Retrieval and Annotation of Image Databases), has been developed for the management of image databases. RAIDER was designed to combat the inadequacies and in...
Stephanie R. Fountain, Tieniu Tan
WWW
2005
ACM
14 years 10 months ago
XAR-miner: efficient association rules mining for XML data
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang