Add to ORKGAbstract. This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, we will show analysis results of some feed-forward– error-back-propagation neural networks for image processing. We will describe them in terms of domain-dependent basic functions, which are, in the case of the digital image processing domain, differential operators of various orders and with various angles of operation. Some other pixel classification techniques are analyzed in the same way, enabling easy comparison.
Artificial neural networks are systems composed of interconnected simple computing units known as ar...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...
Abstract. This paper illustrates a novel method to analyze artificial neural networks so as to gain ...
Abstract. This paper illustrates a novel method to analyze artificial neural networks so as to gain ...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
Despite their success-story, artificial neural networks have one major disadvantagecompared to other...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Abstract — This paper illustrates a novel method to an-alyze artificial neural networks so as to gai...
We review more than 200 applications of neural networks in image processing and discuss the present ...
Artificial neural networks are systems composed of interconnected simple computing units known as ar...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...
Abstract. This paper illustrates a novel method to analyze artificial neural networks so as to gain ...
Abstract. This paper illustrates a novel method to analyze artificial neural networks so as to gain ...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
Despite their success-story, artificial neural networks have one major disadvantagecompared to other...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Abstract — This paper illustrates a novel method to an-alyze artificial neural networks so as to gai...
We review more than 200 applications of neural networks in image processing and discuss the present ...
Artificial neural networks are systems composed of interconnected simple computing units known as ar...
Despite their success-story, artificial neural networks have one major disadvantage compared to othe...
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...