Items where Author is "Nishio, Y."

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Number of items: 10.

1995

DateAuthor/TitleDocument Type
1995Rekeczky, Csaba and Nishio, Y. and Ushida, A. and Roska, Tamás and Ueno, J. and Kasem, I. and Nishitani, H.
Analogic CNN algorithms in bronchogenic carcinoma analysis
Conference or Workshop Item
1995Rekeczky, Csaba and Nishio, Y. and Ushida, A. and Roska, Tamás
CNN based adaptive smoothing and some novel types of nonlinear operators for grey-scale image processing
Conference or Workshop Item
1995Kishida, J. and Rekeczky, Csaba and Nishio, Y. and Ushida, A.
An iterative approach of CNN to image processing - feature extraction of postage stamps
Conference or Workshop Item

1996

DateAuthor/TitleDocument Type
1996Chandler, B. and Rekeczky, Csaba and Nishio, Y. and Ushida, A.
CNN template optimization by adaptive simulated annealing
Conference or Workshop Item
1996Kishida, J. and Rekeczky, Csaba and Nishio, Y. and Ushida, A.
Feature extraction of postage stamps using an iterative approach of CNN
Article
1996Rekeczky, Csaba and Nishio, Y. and Ushida, A. and Roska, Tamás and Tahi,
Image segmentation by soft computing on the CNN universal machine - a case study of echocardiography
Conference or Workshop Item

1997

DateAuthor/TitleDocument Type
1997Hirakawa, S. and Rekeczky, Csaba and Nishio, Y. and Ushida, A. and Roska, Tamás and Ueno, J. and Kasem, I. and Nishitani, H.
Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template
Article
1997Chandler, B. and Rekeczky, Csaba and Nishio, Y. and Ushida, A.
Pattern learning in cellular neural networks using adaptive simulated annealing
Conference or Workshop Item

1999

DateAuthor/TitleDocument Type
1999Chandler, B. and Rekeczky, Csaba and Nishio, Y. and Ushida, A.
Adaptive simulated annealing in CNN template learning
Article
1999Chandler, B. and Rekeczky, CS and Nishio, Y. and Ushida, A.
A CNN template learning using adaptive simulated annealing - performance comparison with a genetic algorithm
Article
This list was generated on Fri Dec 27 03:21:15 2024 CET.