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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
PCM
2004
Springer
114views Multimedia» more  PCM 2004»
14 years 22 days ago
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
SIGIR
1999
ACM
13 years 11 months ago
Relevance Feedback Retrieval of Time Series Data
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
Eamonn J. Keogh, Michael J. Pazzani
MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 24 days ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 8 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra