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» Kernel indexing for relevance feedback image retrieval
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MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 1 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
PR
2007
205views more  PR 2007»
13 years 7 months ago
Active learning for image retrieval with Co-SVM
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
Jian Cheng, Kongqiao Wang
ECIR
2006
Springer
13 years 9 months ago
Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?
We have proposed a novel image retrieval system that incorporates a workspace where users can organise their search results. A task-oriented and usercentred experiment has been dev...
Jana Urban, Joemon M. Jose
ICIP
2003
IEEE
14 years 9 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...