ITEM METADATA RECORD
Title: Nonparametric regression modeling with equiprobable topographic maps and projection pursuit learning with application to PET image processing
Authors: Van Hulle, Marc # ×
Issue Date: 1998
Publisher: KLUWER ACADEMIC PUBL
Series Title: Journal of VLSI signal processing vol:18 issue:3 pages:275-285
Conference: date:Catholic Univ Louvain, Neuro & Psychofysiol Lab, B-3000 Louvain, Belgium
Abstract: A recently introduced rule for equiprobable topographic map formation, called the Vectorial Boundary Adaptation Rule (VBAR), is extended and applied to nonparametric projection pursuit regression. The performance of the regression procedure is compared to that of a number of other nonparametric regression procedures. The procedure is applied to positron emission tomography (PET) images for adaptive filtering and data compression purposes.
ISSN: 0922-5773
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

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