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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | regularization / general regression / discontinuity |
Paper # | PRU94-1 |
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Committee | PRU |
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Conference Date | 1994/5/19(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Understanding (PRU) |
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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 |