Items where Author is "Crounse, KR"

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Number of items: 11.

Article

DateAuthor/TitleDocument Type
1996Venetianer, PL and Szolgay, Péter and Crounse, KR and Roska, Tamás and Chua, LO
Analogue combinatorics and cellular automata - key algorithms and layout design
Article
1994Tanaka, M. and Crounse, KR and Roska, Tamás
Parallel analog image coding and decoding by using cellular neural networks
Article
1993Crounse, KR and Roska, Tamás and Chua, LO
Image halftoning with cellular neural networks
Article

Conference or Workshop Item

DateAuthor/TitleDocument Type
1998Crounse, KR and Roska, Tamás and Chua, LO
Some methods for practical halftoning on the CNN universal machine
Conference or Workshop Item
1996Kozek, T. and Crounse, KR and Roska, Tamás and Chua, LO
Multi-scale image analysis on the CNN universal machine
Conference or Workshop Item
1995Kozek, T. and Crounse, KR and Roska, Tamás and Chua, LO
Smart image scanning algorithms for the CNN universal machine
Conference or Workshop Item
1994Venetianer, PL and Szolgay, Péter and Crounse, KR and Roska, Tamás and Chua, LO
Analog combinatorics and cellular automata - key algorithms and layout design
Conference or Workshop Item
1994Miller, JP and Roska, Tamás and Szirányi, Tamás and Crounse, KR and Chua, LO and Nemes, L.
Deblurring of images by cellular neural networks with applications to microscopy
Conference or Workshop Item
1992Tanaka, M. and Crounse, KR and Roska, Tamás
Template synthesis of cellular neural networks for information coding and decoding
Conference or Workshop Item

Book

DateAuthor/TitleDocument Type
1998Crounse, KR and Roska, Tamás
CNN feasibility study: document image processing.(Research report of the Analogical and Neural Computing Laboratory, DNS-8-1998.)
Book
1994Venetianer, PL and Szolgay, Péter and Crounse, KR and Roska, Tamás and Chua, LO
Analog combinatorics and cellular automata - key algorithms and layout design. (Research report of the Analogical and Neural Computing Laboratory. DNS-7-1994.)
Book
This list was generated on Sun Mar 3 03:07:53 2024 CET.