Presentation 1994/5/19
Extension of Regularization Theory based on General Regression into Multi-valued Functions and a Reconstruction Algorithm for Discontinuous Functions without Line Processes
Hiroyuki Mizutani,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We extend a regularization theory which is based on general regression in order to apply it to multivalued regularization.This regularization theory do not require any smoothness measures which play an important role in standard regularization theory.We also propose a new discontinuous function reconstruction algorithm from discrete data without conventional line processes.This algorithm is very simple and leads deterministically to a unique solution.We show it′s usefulness and robustness against noise by several compu ter simulations.
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Keyword(in English) regularization / general regression / discontinuity
Paper # PRU94-1
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Conference Information
Committee PRU
Conference Date 1994/5/19(1days)
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Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extension of Regularization Theory based on General Regression into Multi-valued Functions and a Reconstruction Algorithm for Discontinuous Functions without Line Processes
Sub Title (in English)
Keyword(1) regularization
Keyword(2) general regression
Keyword(3) discontinuity
1st Author's Name Hiroyuki Mizutani
1st Author's Affiliation ATR Human Information Processing Research Laboratories()
Date 1994/5/19
Paper # PRU94-1
Volume (vol) vol.94
Number (no) 50
Page pp.pp.-
#Pages 8
Date of Issue