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» Textural Features and Relevance Feedback for Image Retrieval
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CORR
2010
Springer
194views Education» more  CORR 2010»
14 years 8 months ago
An Effective Method of Image Retrieval using Image Mining Techniques
The present research scholars are having keen interest in doing their research activities in the area of Data mining all over the world. Especially, [13]Mining Image data is the o...
A. Kannan, V. Mohan, N. Anbazhagan
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
16 years 7 days ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen
MICCAI
2004
Springer
16 years 21 days ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 7 days ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
CIKM
2007
Springer
15 years 6 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann