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Region-based image retrieval using color and texture features on irregular regions of interest
(Institute of Electrical and Electronics Engineers Inc., 2015)
The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however many of this systems are likely to fail due to use global features which cannot ...
Wavelet-based fingerprint image retrieval
(Scopus, 2009)
This paper presents a novel approach for personal identification based on a wavelet-based fingerprint retrieval system which encompasses three image retrieval tasks, namely, feature extraction, similarity measurement, and ...
Unsupervised distance learning by rank correlation measures for image retrieval
(2015-06-22)
Ranking accurately collection images is the main objective of Content-based Image Retrieval (CBIR) systems. In fact, the set of images ranked at the first positions generally defines the effectiveness of provided search ...
Unsupervised distance learning by reciprocal kNN distance for image retrieval
(2014-01-01)
This paper presents a novel unsupervised learning approach that takes into account the intrinsic dataset structure, which is represented in terms of the reciprocal neighborhood references found in different ranked lists. ...
Web-based diagnosis and medical image retrieval system.
(2011-10-13)
Radiological images represent a high percentage of specialized medical diagnosis.
Although these images contain useful information, their use is limited to access and availability.
Therefore, storage solutions to facilitate ...
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
(2015-12-11)
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
(2014-01-28)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
UNSUPERVISED MANIFOLD LEARNING BY CORRELATION GRAPH AND STRONGLY CONNECTED COMPONENTS FOR IMAGE RETRIEVAL
(Ieee, 2014-01-01)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
Effective, efficient, and scalable unsupervised distance learning in image retrieval tasks
(2015-06-22)
Various unsupervised learning methods have been proposed with significant improvements in the effectiveness of image search systems. However, despite the relevant effectiveness gains, these approaches commonly require high ...
General Database Infrastructure for Image Retrieval
(IJCSI, 2010-11)
In this article, a general database infrastructure implemented in an Object-Relational Database Management System for image retrieval is proposed and describe. Semantic and content based image queries can be performed with ...