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ACSW
2004
13 years 10 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
SYNTHESE
2008
88views more  SYNTHESE 2008»
13 years 9 months ago
Interpolation in computing science: the semantics of modularization
The Interpolation Theorem, first formulated and proved by W. Craig fifty years ago for predicate logic, has been extended to many other logical frameworks and is being applied in s...
Gerard R. Renardel de Lavalette
CORR
2000
Springer
134views Education» more  CORR 2000»
13 years 9 months ago
Learning Complexity Dimensions for a Continuous-Time Control System
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag
SIGIR
2000
ACM
14 years 1 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
BILDMED
2008
188views Algorithms» more  BILDMED 2008»
13 years 10 months ago
4D Endocardial Segmentation Using Spatio-temporal Appearance Models and Level Sets
In this paper a framework for the segmentation of cardiac MR image sequences using spatio-temporal appearance models is presented. The method splits the 4D space into 2 separate su...
Karl D. Fritscher, Rainer Schubert