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CVPR
2008
IEEE
14 years 10 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
ICSM
2009
IEEE
14 years 3 months ago
On the use of relevance feedback in IR-based concept location
Concept location is a critical activity during software evolution as it produces the location where a change is to start in response to a modification request, such as, a bug repo...
Gregory Gay, Sonia Haiduc, Andrian Marcus, Tim Men...
CEE
2010
67views more  CEE 2010»
13 years 8 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
MMS
2008
13 years 8 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu