Contrast Adjustment Forensics Based on Second-Order Statistical and Deep Learning Features

2020 ◽  
pp. 27-37
Author(s):  
Xinyi Wang ◽  
Shaozhang Niu ◽  
He Wang
Keyword(s):  
Deep Learning ◽  
Second Order ◽  
Deep Learning Features

Abstract 197: MONE: A construction for interpreting deep learning features in pathology slides

2021 ◽  
Author(s):  
Ali Foroughi Pour ◽  
Jonghanne Park ◽  
Jeffrey H. Chuang
Keyword(s):  
Deep Learning ◽  
Deep Learning Features

scholarly journals Optimization of deep learning features for age-invariant face recognition

2020 ◽  
Vol 10 (2) ◽  
pp. 1833
Author(s):  
Amal A. Moustafa ◽  
Ahmed Elnakib ◽  
Nihal F. F. Areed
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Nearest Neighbor ◽  
Recognition Rate ◽  
Manhattan Distance ◽  
Distance Metrics ◽  
K Nearest Neighbor ◽  
Face Images ◽  
Knn Classifier ◽  
Deep Learning Features

This paper presents a methodology for Age-Invariant Face Recognition (AIFR), based on the optimization of deep learning features. The proposed method extracts deep learning features using transfer deep learning, extracted from the unprocessed face images. To optimize the extracted features, a Genetic Algorithm (GA) procedure is designed in order to select the most relevant features to the problem of identifying a person based on his/her facial images over different ages. For classification, K-Nearest Neighbor (KNN) classifiers with different distance metrics are investigated, i.e., Correlation, Euclidian, Cosine, and Manhattan distance metrics. Experimental results using a Manhattan distance KNN classifier achieves the best Rank-1 recognition rate of 86.2% and 96% on the standard FGNET and MORPH datasets, respectively. Compared to the state-of-the-art methods, our proposed method needs no preprocessing stages. In addition, the experiments show its privilege over other related methods.

Mammogram classification using deep learning features

2017 ◽  
Author(s):  
Syed Jamal Safdar Gardezi ◽  
Muhammad Awais ◽  
Ibrahima Faye ◽  
Fabrice Meriaudeau
Keyword(s):  
Deep Learning ◽  
Deep Learning Features
Sign in / Sign up

Export Citation Format

Share Document