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» Interactive Object-Based Retrieval Using Relevance Feedback
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CIKM
2007
Springer
14 years 2 months ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Relevance Feedback Methods in Content Based Retrieval and Video Summarization
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
Micha Haas, Ard Oerlemans, Michael S. Lew
RIAO
2000
13 years 9 months ago
The Effect of Pseudo Relevance Feedback on MT-Based CLIR
In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
ICPR
2008
IEEE
14 years 9 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
ICIAR
2007
Springer
14 years 2 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang