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ICPR
2000
IEEE
16 years 5 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
DAC
2003
ACM
16 years 5 months ago
A TBR-based trajectory piecewise-linear algorithm for generating accurate low-order models for nonlinear analog circuits and MEM
In this paper we propose a method for generating reduced models for a class of nonlinear dynamical systems, based on truncated balanced realization (TBR) algorithm and a recently ...
Dmitry Vasilyev, Michal Rewienski, Jacob White
ICML
1995
IEEE
16 years 5 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
ISBI
2004
IEEE
16 years 5 months ago
Sequential vs Simultaneous Stochastic Segmentation
In past work, the Metropolis Algorithm along with Gibbs Priors was used to successfully segment two-dimensional noisy gray images into a small finite number of labels. In applicat...
Eilat Vardi-Gonen, Gabor T. Herman
ISBI
2006
IEEE
16 years 5 months ago
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system
This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it f...
Gali Zimmerman, Shiri Gordon, Hayit Greenspan