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ICPR
2010
IEEE
13 years 5 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
PVLDB
2008
163views more  PVLDB 2008»
13 years 7 months ago
C-DEM: a multi-modal query system for Drosophila Embryo databases
The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as informatio...
Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
14 years 28 days ago
Task-Based User Evaluation of Content-Based Image Database Browsing Systems
Abstract. This paper presents a task-based user evaluation of two contentbased image database browsing systems. The performance of the two systems is compared to that of a commerci...
Timo Ojala, Markus Koskela, Esa Matinmikko, Mika R...
ICPR
2002
IEEE
14 years 8 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
CBMS
2009
IEEE
14 years 2 months ago
MammoSVD: A content-based image retrieval system using a reference database of mammographies
In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density – fatty or dense, and the database...
Júlia E. E. de Oliveira, Ana Paula Brand&at...