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ICASSP
2007
IEEE
15 years 4 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
EDBT
2006
ACM
172views Database» more  EDBT 2006»
15 years 10 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
CVIU
2002
111views more  CVIU 2002»
14 years 10 months ago
Interactive Content-Based Image Retrieval Using Relevance Feedback
Sean D. MacArthur, Carla E. Brodley, Avinash C. Ka...
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes
IDEAL
2005
Springer
15 years 3 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...