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» Data Mining: Machine Learning, Statistics, and Databases
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CSDA
2007
142views more  CSDA 2007»
13 years 7 months ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant
LREC
2008
103views Education» more  LREC 2008»
13 years 8 months ago
From Field Notes towards a Knowledge Base
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
Piroska Lendvai, Steve Hunt
MICCAI
2010
Springer
13 years 5 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
BMCBI
2010
186views more  BMCBI 2010»
13 years 7 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
NAR
2011
307views Computer Vision» more  NAR 2011»
13 years 2 months ago
BRENDA, the enzyme information system in 2011
The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific...
Maurice Scheer, Andreas Grote, Antje Chang, Ida Sc...