Add to ORKGSupervised learning has been considered as a hot topic as it is used in different fields that can exploit the advantages of artificial intelligence. This research introduces a new approach using cellular technology for solving various problems of processing and pattern recognition images that are invariant to the orientation, scale, and dynamic changes in real time. On the basis of the notion of geometric type solved the problem of information selection elements in the image recognition of shapes, lines and laser processing of personal identification for handwritten text. Keywords: cellular technology, pattern recognition, figures recognition, neural networ
A large number of persecutors have been interested in computer vision research. It evolves from the ...
We present a new single-chip texture classifier based on the cellular neural network (CNN) architect...
An approach to simultaneous interpretation of objects in complex structures so as to maximize a comb...
Supervised learning has been considered as a hot topic as it is used in different fields that can ex...
An overview is given on the use of cellular automata for image processing. We first consider the num...
The book presents findings, views and ideas on what exact problems of image processing, pattern reco...
An overview is given on the use of cellular automata for image pro-cessing. We first consider the nu...
Parallel algorithms for solving any image processing task is a highly demanded approach in the moder...
The principal constituents of computational intelligence are fuzzy logic, neural networks and evolut...
Cellular neural networks (CNNs) have been adopted in the spatio-temporal processing research field ...
This paper presents some of the research activities of the research group in vision as a grand chall...
The design problem of intelligent image recognition system is considered. For the solution of t...
Cellular automata are dynamical systems in which time and space are discrete. A cellular automaton c...
A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between te...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2018Catal...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
We present a new single-chip texture classifier based on the cellular neural network (CNN) architect...
An approach to simultaneous interpretation of objects in complex structures so as to maximize a comb...
Supervised learning has been considered as a hot topic as it is used in different fields that can ex...
An overview is given on the use of cellular automata for image processing. We first consider the num...
The book presents findings, views and ideas on what exact problems of image processing, pattern reco...
An overview is given on the use of cellular automata for image pro-cessing. We first consider the nu...
Parallel algorithms for solving any image processing task is a highly demanded approach in the moder...
The principal constituents of computational intelligence are fuzzy logic, neural networks and evolut...
Cellular neural networks (CNNs) have been adopted in the spatio-temporal processing research field ...
This paper presents some of the research activities of the research group in vision as a grand chall...
The design problem of intelligent image recognition system is considered. For the solution of t...
Cellular automata are dynamical systems in which time and space are discrete. A cellular automaton c...
A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between te...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2018Catal...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
We present a new single-chip texture classifier based on the cellular neural network (CNN) architect...
An approach to simultaneous interpretation of objects in complex structures so as to maximize a comb...