The paper considers the problem of regularization of automatic stable training of networks of artificial Mahalanobis neurons that simultaneously perform recognition of the “Own” image
Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Dé...
The paper performs an algorithmic and experimental study regarding the generalization capacity of th...
Pre-trained network weights to reproduce the results shown in the paper "A Note on the Regularity of...
The paper considers the problem of regularization of automatic stable training of networks of artifi...
Neural network is widely used for image classification problems, and is proven to be effective with ...
Abstract: In this paper we present a regularization approach to the training of all the network weig...
this paper, we propose optimization methods explicitly applied to the nonlinear regularized problem ...
Image recognition, also known as computer vision, is one of the most prominent applications of neura...
Submitted to ELSEVIER, 13 pages, 5 figuresTraining deep neural networks is known to require a large ...
Many objects and processes inspired by the nature have been recreated by the scientists. The inspira...
This work aims to define and experimentally evaluate an adaptive strategy based on neural learning t...
[[abstract]]This paper developes a new method for the pixel classification of an intensity image. A ...
Large enough structured neural networks are used for solving the tasks to recognize distorted images...
© 2015 Dr. Sergey DemyanovNeural networks have become very popular in the last few years. They have ...
Image recognition, also known as computer vision, is one of the most prominent applications of neura...
Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Dé...
The paper performs an algorithmic and experimental study regarding the generalization capacity of th...
Pre-trained network weights to reproduce the results shown in the paper "A Note on the Regularity of...
The paper considers the problem of regularization of automatic stable training of networks of artifi...
Neural network is widely used for image classification problems, and is proven to be effective with ...
Abstract: In this paper we present a regularization approach to the training of all the network weig...
this paper, we propose optimization methods explicitly applied to the nonlinear regularized problem ...
Image recognition, also known as computer vision, is one of the most prominent applications of neura...
Submitted to ELSEVIER, 13 pages, 5 figuresTraining deep neural networks is known to require a large ...
Many objects and processes inspired by the nature have been recreated by the scientists. The inspira...
This work aims to define and experimentally evaluate an adaptive strategy based on neural learning t...
[[abstract]]This paper developes a new method for the pixel classification of an intensity image. A ...
Large enough structured neural networks are used for solving the tasks to recognize distorted images...
© 2015 Dr. Sergey DemyanovNeural networks have become very popular in the last few years. They have ...
Image recognition, also known as computer vision, is one of the most prominent applications of neura...
Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Gilles LEONE, Jocelyn PATINEL, Maurice MILGRAM : Dé...
The paper performs an algorithmic and experimental study regarding the generalization capacity of th...
Pre-trained network weights to reproduce the results shown in the paper "A Note on the Regularity of...
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