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ICPR
2002
IEEE
15 years 11 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
AIPR
2000
IEEE
15 years 11 months ago
Gradient-Oriented Profiles for Unsupervised Boundary Classification
We present a method for unsupervised boundary classijication by producing and analyzing intensity profiles. Each profile is created by sampling an ellipsoidal neighborhood of voxe...
Robert J. Tamburo, George D. Stetten
ICASSP
2009
IEEE
15 years 10 months ago
Missing data recovery via a nonparametric iterative adaptive approach
We introduce a missing data recovery methodology based on a weighted least squares iterative adaptive approach (IAA). The proposed method is referred to as the missing-data IAA (M...
Petre Stoica, Jian Li, Jun Ling, Yubo Cheng
CIARP
2004
Springer
15 years 10 months ago
New Bounds and Approximations for the Error of Linear Classifiers
In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
Luís G. Rueda
SSPR
2000
Springer
15 years 10 months ago
A Framework for Classifier Fusion: Is It Still Needed?
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
Josef Kittler