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JMLR
2010
130views more  JMLR 2010»
13 years 5 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
CG
2006
Springer
13 years 10 months ago
Shape reasoning and understanding
s: clustering, denoising, sharp feature, shape abstraction, reverse engineering In this paper we describe a hierarchical face clustering algorithm for triangle meshes based on fit...
Bianca Falcidieno, Remco C. Veltkamp
IPM
2006
64views more  IPM 2006»
13 years 10 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
ICDAR
2005
IEEE
14 years 4 months ago
An Approach to Identify Unique Styles in Online Handwriting Recognition
We describe a method for identifying different writing styles of online handwritten characters based on clustering. The motivation of this experiment is to develop automatic chara...
A. Bharath, V. Deepu, Sriganesh Madhvanath
COLING
1994
14 years 2 days ago
Adjuncts and the Processing of Lexical Rules
The standard HPSG analysis of Germanic verb clusters can not explain the observed narrowscope readings of adjuncts in such verb clusters. We present an extension of the HPSG analy...
Gertjan van Noord, Gosse Bouma