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» A Graphics Image Processing System
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SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 6 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
MIE
2008
160views Healthcare» more  MIE 2008»
15 years 8 months ago
Using Medline Queries to Generate Image Retrieval Tasks for Benchmarking
Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the ...
Henning Müller, Jayashree Kalpathy-Cramer, Wi...
ISBI
2009
IEEE
16 years 1 months ago
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
Huei-Fang Yang, Yoonsuck Choe
MM
2004
ACM
152views Multimedia» more  MM 2004»
16 years 4 days ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 5 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...