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» User Adaptive Clustering for Large Image Databases
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BMCBI
2007
177views more  BMCBI 2007»
14 years 9 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
PAMI
2012
12 years 12 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
ICIP
2006
IEEE
15 years 3 months ago
Optimal Display Adaptation of Iconic Document Visualizations via BFOS-Style Tree Pruning
This paper introduces a new visual representation of a document or group of documents, a Dynamic Document Icon, or Dydocon. Its representation is symbolic like an icon, but change...
Kathrin Berkner, Michael J. Gormish
CORR
2006
Springer
178views Education» more  CORR 2006»
14 years 9 months ago
A tool set for the quick and efficient exploration of large document collections
: We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the do...
Camelia Ignat, Bruno Pouliquen, Ralf Steinberger, ...
AMR
2007
Springer
197views Multimedia» more  AMR 2007»
15 years 3 months ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent