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PAMI
2010
164views more  PAMI 2010»
13 years 6 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 1 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
KES
2006
Springer
13 years 7 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...
BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
13 years 12 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking