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» Interactive Object-Based Retrieval Using Relevance Feedback
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ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
14 years 2 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 9 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
JCDL
2006
ACM
71views Education» more  JCDL 2006»
14 years 1 months ago
Using controlled query generation to evaluate blind relevance feedback algorithms
Currently in document retrieval there are many algorithms each with different strengths and weakness. There is some difficulty, however, in evaluating the impact of the test quer...
Chris Jordan, Carolyn R. Watters, Qigang Gao
CLEF
2010
Springer
13 years 9 months ago
Blind Relevance Feedback for the ImageCLEF Wikipedia Retrieval Task
In this paper we will describe Berkeley's approach to the ImageCLEF Wikipedia Retrieval task for 2010. Our approach to this task was primarily to use text-based searches on th...
Ray R. Larson
ISCIS
2009
Springer
14 years 2 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj