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feature extraction

ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2021
Feature ...
Matthew Henderson, Milica Gasic, Blaise Thomson, Pirros Tsiakoulis, Kai Yu, S. Young   +5 more
openaire   +3 more sources

Lightweight transformer image feature extraction network [PDF]

PeerJ Computer Science
In recent years, the image feature extraction method based on Transformer has become a research hotspot. However, when using Transformer for image feature extraction, the model’s complexity increases quadratically with the number of tokens entered.
Wenfeng Zheng, Siyu Lu, Youshuai Yang, Zhengtong Yin, Lirong Yin   +4 more
doaj   +3 more sources

TSFEL: Time Series Feature Extraction Library

SoftwareX, 2020
Time series feature extraction is one of the preliminary steps of conventional machine learning pipelines. Quite often, this process ends being a time consuming and complex task as data scientists must consider a combination between a multitude of domain
Marília Barandas, Duarte Folgado, Letícia Fernandes, Sara Santos, Mariana Abreu, Patrícia Bota, Hui Liu, Tanja Schultz, Hugo Gamboa   +8 more
doaj   +2 more sources

Texture Feature Extraction Methods: A Survey

IEEE Access, 2019
Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image ...
Anne Humeau-Heurtier
doaj   +2 more sources

Automated Feature Extraction on AsMap for Emotion Classification Using EEG [PDF]

Italian National Conference on Sensors, 2022
Emotion recognition using EEG has been widely studied to address the challenges associated with affective computing. Using manual feature extraction methods on EEG signals results in sub-optimal performance by the learning models.
Md. Zaved Iqubal Ahmed, N. Sinha, Souvik Phadikar   +2 more
semanticscholar   +1 more source

Multiscale Feature Extraction and Fusion of Image and Text in VQA

International Journal of Computational Intelligence Systems, 2023
The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly.
Siyu Lu, Yue Ding, Mingzhe Liu, Zhengtong Yin, Lirong Yin, Wenfeng Zheng   +5 more
semanticscholar   +1 more source

Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT

J. Sens. Actuator Networks, 2023
With the continuous increase in Internet of Things (IoT) device usage, more interest has been shown in internet security, specifically focusing on protecting these vulnerable devices from malicious traffic.
Dhiaa Musleh, Meera Alotaibi, F. Alhaidari, Atta Rahman, R. Mohammad   +4 more
semanticscholar   +1 more source

ECG signal feature extraction trends in methods and applications

BioMedical Engineering OnLine, 2023
Signal analysis is a domain which is an amalgamation of different processes coming together to form robust pipelines for the automation of data analysis. When applied to the medical world, physiological signals are used.
Anup Singh, S. Krishnan
semanticscholar   +1 more source

Trends in EEG signal feature extraction applications

Frontiers in Artificial Intelligence, 2023
This paper will focus on electroencephalogram (EEG) signal analysis with an emphasis on common feature extraction techniques mentioned in the research literature, as well as a variety of applications that this can be applied to.
Anup Singh, S. Krishnan
semanticscholar   +1 more source

Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

Italian National Conference on Sensors, 2022
Alzheimer’s disease is the most common form of dementia and the fifth-leading cause of death among people over the age of 65. In addition, based on official records, cases of death from Alzheimer’s disease have increased significantly.
D. Alsaeed, S. Omar
semanticscholar   +1 more source