Deep Transfer Learning Based Web Interfaces for Biology Image Data Classification

2020 ◽  
pp. 777-788
Author(s):  
Ting Yin ◽  
Sushil Kumar Plassar ◽  
Julio C. Ramirez ◽  
Vipul KaranjKar ◽  
Joseph G. Lee ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Image Data ◽  
Data Classification ◽  
Web Interfaces ◽  
Image Data Classification

Balanced Mini-Batch Training for Imbalanced Image Data Classification with Neural Network

2018 ◽  
Author(s):  
Ryota Shimizu ◽  
Kosuke Asako ◽  
Hiroki Ojima ◽  
Shohei Morinaga ◽  
Mototsugu Hamada ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Data ◽  
Data Classification ◽  
Image Data Classification

scholarly journals SIGNAL CHECKING OF STEGANO INSERTED ON IMAGE DATA CLASSIFICATION BY NFES-MODEL

CCIT Journal ◽  
2012 ◽  
Vol 5 (3) ◽  
pp. 312-328
Author(s):  
M. Givi Efgivia ◽  
Safaruddin A. Prasad ◽  
Al-Bahra .LB
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Image Data ◽  
Data Classification ◽  
Fuzzy Expert System ◽  
Classification Result ◽  
Transform Method ◽  
Secret Information ◽  
Neuro Fuzzy ◽  
Image Data Classification

Abstract. In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model). A Neural network (NN) is a part from neuro-fuzzy has the ability to recognize complex patterns, and classifies them into many desired classes. However, the neural network might produce misclassification. By adding fuzzy expert system into NN using geographic knowledge based, then misclassification can be decreased, with the result that improvement of classification result, compared with a neural network approximation. An image data classification result may be obtained the secret information with the inserted by steganography method and other encryption. For the known of secret information, we use a fast fourier transform method to detection of existence of that information by signal analyzing technique.

A Bayesian Method for Multispectral Image Data Classification

2002 ◽  
Vol 14 (1-2) ◽  
pp. 169-180 ◽  
Author(s):  
Giovanni Sebastiani ◽  
Sigrunn Holbek Sørbye
Keyword(s):  
Bayesian Method ◽  
Image Data ◽  
Data Classification ◽  
Multispectral Image ◽  
Image Data Classification
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