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ICCV
2011
IEEE
14 years 6 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
16 years 14 days ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
MM
2006
ACM
175views Multimedia» more  MM 2006»
16 years 12 days ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
SIGMOD
2001
ACM
158views Database» more  SIGMOD 2001»
16 years 6 months ago
Generating Efficient Plans for Queries Using Views
We study the problem of generating e cient, equivalent rewritings using views to compute the answer to a query. We take the closed-world assumption, in which views are materialize...
Foto N. Afrati, Chen Li, Jeffrey D. Ullman
CIKM
2009
Springer
16 years 1 months ago
Evaluating top-k queries over incomplete data streams
We study the problem of continuous monitoring of top-k queries over multiple non-synchronized streams. Assuming a sliding window model, this general problem has been a well addres...
Parisa Haghani, Sebastian Michel, Karl Aberer