Amanote Research
Register
Sign In
A Weighted Competitive Learning Method Extracting Skeleton Pattern From Japanese Kanji Characters
doi 10.1109/icnn.1994.374946
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
K. Nakayama
T. Kato
Publisher
IEEE
Related search
A Weighted Competitive Learning Extracting Skeleton Structure From Character Patterns With Non-Uniform Width
Processing of Kanji and Kana Characters Within Japanese Words
Perception & Psychophysics
Kanji Jigoku: An E-Learning Platform for Kanji Studies
Silva Iaponicarum
Extracting Backbones From Weighted Complex Networks With Incomplete Information
Abstract and Applied Analysis
Applied Mathematics
Analysis
Perceptions of Kanji Learning Strategies
Australian Review of Applied Linguistics
Linguistics
Language
Using Competitive Learning Between Symbolic Rules as a Knowledge Learning Method
IFIP – The International Federation for Information Processing
Effectiveness of the Visual–Auditory Shadowing Method on Learning the Pronunciation of Kanji
Japanese Psychological Research
Psychology
A Skeleton-Based Approach to Learning Bayesian Networks From Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
A Dynamic Method of Extracting Depth From Image Sequence.
The Journal of the Institute of Television Engineers of Japan