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backpropagationSoftware
This paper presents backpropagation neural networks that utilize texture information to accurately classify photographic images. Training with minimum sets is shown to yield excellent results
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...
This paper presents a deep-learning mechanism for classifying computer generated images and photogra...
We review more than 200 applications of neural networks in image processing and discuss the present ...
This paper presents backpropagation neural networks that utilize texture information to accurately c...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
Image classification plays an important part in the fields of Remote sensing, Image analysis and Pat...
Image classification plays an important part in the fields of Remote sensing, Image analysis and Pat...
In this paper the use of multilayer perceptron type neural networks in the characterization of image...
Lecture delivered on topic of image classification based on textural features using unsupervised neu...
This paper presents a study for the effect of learning rate on an approach for texture classificatio...
publication date: 2019-12-19; filing date: 2018-06-17A computer-implemented method for training a ne...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
This Master's thesis has concerned the segmentation and classification of background textures in ima...
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...
This paper presents a deep-learning mechanism for classifying computer generated images and photogra...
We review more than 200 applications of neural networks in image processing and discuss the present ...
This paper presents backpropagation neural networks that utilize texture information to accurately c...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
The ability to classify texture regions in images is considered to be an important aspect of scene a...
Texture classification poses a well known difficulty within computer vision systems. This paper revi...
Image classification plays an important part in the fields of Remote sensing, Image analysis and Pat...
Image classification plays an important part in the fields of Remote sensing, Image analysis and Pat...
In this paper the use of multilayer perceptron type neural networks in the characterization of image...
Lecture delivered on topic of image classification based on textural features using unsupervised neu...
This paper presents a study for the effect of learning rate on an approach for texture classificatio...
publication date: 2019-12-19; filing date: 2018-06-17A computer-implemented method for training a ne...
Texture plays an increasingly important role in computer vision. It has found wide application in re...
This Master's thesis has concerned the segmentation and classification of background textures in ima...
Thesis (Ph. D.)--University of Rochester. College of Engineering and Applied Science. Institute of O...
This paper presents a deep-learning mechanism for classifying computer generated images and photogra...
We review more than 200 applications of neural networks in image processing and discuss the present ...
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