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» CURE: An Efficient Clustering Algorithm for Large Databases
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MLDM
1999
Springer
15 years 8 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
SIGMOD
2003
ACM
142views Database» more  SIGMOD 2003»
16 years 4 months ago
Winnowing: Local Algorithms for Document Fingerprinting
Digital content is for copying: quotation, revision, plagiarism, and file sharing all create copies. Document fingerprinting is concerned with accurately identifying copying, incl...
Saul Schleimer, Daniel Shawcross Wilkerson, Alexan...
DATESO
2010
150views Database» more  DATESO 2010»
15 years 2 months ago
Evolving Quasigroups by Genetic Algorithms
Abstract. Quasigroups are a well-known combinatorial design equivalent to more familiar Latin squares. Because all possible elements of a quasigroup occur with equal probability, i...
Václav Snásel, Jiri Dvorský, ...
BMCBI
2010
148views more  BMCBI 2010»
15 years 4 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...