Search Results - subject:"Convolutional neural networks"

Copy-Move Forgery Localization Using Convolutional Neural Networks and CFA Features

Liu, Lu; Zhao, Yao; Ni, Rongrong; Tian, Qi - In: International Journal of Digital Crime and Forensics (IJDCF) 10 (2018) 4, pp. 140-155

This article describes how images could be forged using different techniques, and the most common forgery is copy-move forgery, in which a part of an image is duplicated and placed elsewhere in the same image. This article describes a convolutional neural network (CNN)-based method to accurately...

Persistent link: https://www.econbiz.de/10012043989

Learning and Interpreting Features to Rank: A Case Study on Age Estimation

Dong, Ming; Chen, Shixing; Zhu, Dongxiao - In: International Journal of Multimedia Data Engineering … 9 (2018) 3, pp. 17-36

Previously, it was taken for granted that features learned for classification can also be used for ranking. However, ranking problems possess some distinctive properties, e.g., the ordinal class labels, which indicates the necessity of developing new feature learning procedures dedicated for...

Persistent link: https://www.econbiz.de/10012046542

Design of an Artificial Neural Network battery for an optimal recognition of patterns in financial time series

Fioribello, Simone; Giribone, Pier Giuseppe - In: International journal of financial engineering 5 (2018) 4, pp. 1-17

Persistent link: https://www.econbiz.de/10012028806

Classifying Behaviours in Videos with Recurrent Neural Networks

Abellan-Abenza, Javier; Garcia-Garcia, Alberto; Oprea, … - In: International Journal of Computer Vision and Image … 7 (2017) 4, pp. 1-15

Learning. In particular, convolutional neural networks are used to detect features in the video images, meanwhile Recurrent …

Persistent link: https://www.econbiz.de/10012043838

Use of Images of Leaves and Fruits of Apple Trees for Automatic Identification of Symptoms of Diseases and Nutritional Disorders

Nachtigall, Lucas Garcia; Araujo, Ricardo Matsumura; … - In: International Journal of Monitoring and Surveillance … 5 (2017) 2, pp. 1-14

orchards is essential to avoid greater losses. This paper aimed to evaluate the efficiency of Convolutional Neural Networks … images, with an accuracy of 97.3% and obtain 91.1% accuracy with fruit images. In this way, the use of Convolutional Neural … Networks may enable the diagnosis of symptoms in apple trees in a fast, precise and usual way. …

Persistent link: https://www.econbiz.de/10012046691