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CVPR
2001
IEEE
15 years 11 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
ICIP
2003
IEEE
15 years 11 months ago
Image retrieval with SVM active learning embedding Euclidean search
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
Lei Wang, Kap Luk Chan, Yap Peng Tan
MMM
2005
Springer
117views Multimedia» more  MMM 2005»
15 years 3 months ago
Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, ...
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CBMS
2003
IEEE
15 years 2 months ago
Localizing Contour Points for Indexing an X-Ray Image Retrieval System
Vertebra shape can effectively describe various pathologies found in spine x-ray images. There are some critical regions on the shape contour which help determine whether the shap...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
ICPR
2000
IEEE
15 years 10 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai