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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 10 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
PR
2007
107views more  PR 2007»
13 years 11 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
TSMC
2002
107views more  TSMC 2002»
13 years 11 months ago
Guaranteed robust nonlinear estimation with application to robot localization
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
PAMI
2002
243views more  PAMI 2002»
13 years 11 months ago
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
IJON
1998
44views more  IJON 1998»
13 years 11 months ago
Hierarchical RBF networks and local parameters estimate
The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
N. Alberto Borghese, Stefano Ferrari
IDA
2002
Springer
13 years 11 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
CSDA
2007
103views more  CSDA 2007»
13 years 11 months ago
Cluster-wise assessment of cluster stability
Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same clustering, some clusters m...
Christian Hennig
CAGD
2004
113views more  CAGD 2004»
13 years 11 months ago
Developable surface fitting to point clouds
Given a set of data points as measurements from a developable surface, the present paper investigates the recognition and reconstruction of these objects. We investigate the set o...
Martin Peternell
AUTOMATICA
2004
77views more  AUTOMATICA 2004»
13 years 11 months ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer
TITS
2008
112views more  TITS 2008»
13 years 11 months ago
An Efficient Approach to Onboard Stereo Vision System Pose Estimation
Abstract--This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment's dominant surface area, which is s...
Angel Domingo Sappa, Fadi Dornaika, Daniel Ponsa, ...