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EL
2008
91views more  EL 2008»
15 years 6 months ago
A novel self-organising clustering model for time-event documents
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
Chihli Hung, Stefan Wermter
EUSFLAT
2009
140views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Incremental Possibilistic Approach for Online Clustering and Classification
In this paper, we propose to develop the supervised classification method Fuzzy Pattern Matching to be in addition a non supervised one. The goal is to monitor dynamic systems with...
Moamar Sayed Mouchaweh, Bernard Riera
DAC
2003
ACM
16 years 7 months ago
Partial task assignment of task graphs under heterogeneous resource constraints
This paper presents a novel partial assignment technique (PAT) that decides which tasks should be assigned to the same resource without explicitly defining assignment of these tas...
Radoslaw Szymanek, Krzysztof Kuchcinski
ICIP
2005
IEEE
16 years 8 months ago
Predictive compression of dynamic 3D meshes
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Aljoscha Smolic, Karsten Müller, Matthias Kau...
VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 6 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou