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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 10 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...
DELOS
2000
15 years 5 months ago
SMP and Cluster Architectures for Retrieval of Images in Digital Libraries
: This paper presents an overview over parallel architectures for the efficient realisation of digital libraries by considering image databases as an example. The state of the art ...
Odej Kao
FSS
2007
136views more  FSS 2007»
15 years 4 months ago
Retrieving images in fuzzy object-relational databases using dominant color descriptors
In this paper a fuzzy approach for image retrieval on the basis of color features is presented. The proposal deals with vagueness in the color description and introduces the use o...
Jesús Chamorro-Martínez, Juan Miguel...
ICPR
2006
IEEE
16 years 5 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
ENC
2007
IEEE
15 years 10 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...