Improved SSD using deep multi-scale attention spatial–temporal features for action recognition
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00831-4
Abstract: The biggest difference between video-based action recognition and image-based action recognition is that the former has an extra feature of time dimension. Most methods of action recognition based on deep learning adopt: (1) using 3D… read more here.
Keywords: temporal features; attention; action recognition; multi scale ... See more keywords
Calling activity and calls' temporal features inform about fish reproductive condition and spawning in three cultured Sciaenidae species
Sign Up to like & getrecommendations! Published in 2020 at "Aquaculture"
DOI: 10.1016/j.aquaculture.2020.735243
Abstract: Abstract Although many fish species are vocal, the use of fish sounds for aquaculture management and wild population protection has not received much attention. In this study, sound production of three members of the Sciaenidae… read more here.
Keywords: temporal features; spawning three; calling activity; activity calls ... See more keywords
A fast human action recognition network based on spatio-temporal features
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.150
Abstract: Abstract Artificial intelligence models are widely used in the field of human activity recognition, and human action recognition is an important aspect of human activity recognition. The core of human action recognition is to understand… read more here.
Keywords: action recognition; temporal features; spatio temporal; recognition ... See more keywords
Land-cover classification using multi-temporal GF-1 wide field view data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1468106
Abstract: ABSTRACT Vegetation is an important land-cover type and its growth characteristics have potential for improving land-cover classification accuracy using remote-sensing data. However, due to lack of suitable remote-sensing data, temporal features are difficult to acquire… read more here.
Keywords: cover classification; temporal features; land; land cover ... See more keywords
Spatial-temporal features based EEG emotion recognition using GCN and LSTM.
Sign Up to like & getrecommendations! Published in 2023 at "Physiological measurement"
DOI: 10.1088/1361-6579/acd675
Abstract: OBJECTIVE emotion recognition on the basis of electroencephalography (EEG) signals has received a significant amount of attention in the areas of cognitive science and human-computer interaction (HCI). However, most existing studies either focus on one-dimensional… read more here.
Keywords: emotion; temporal features; seed; emotion recognition ... See more keywords
Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2716907
Abstract: We demonstrate accurate spatio-temporal gait data classification from raw tomography sensor data without the need to reconstruct images. This is based on a simple yet efficient machine learning methodology based on a convolutional neural network… read more here.
Keywords: temporal features; classification; spatio temporal; learning spatio ... See more keywords
STGM: Vehicle Trajectory Prediction Based on Generative Model for Spatial-Temporal Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3160648
Abstract: For safe and efficient navigation in driving environment, autonomous vehicles are supposed to predict future trajectories of surrounding vehicles dynamically and tackle the uncertainty of environment. Early works view uncertainty as distributions in different modals,… read more here.
Keywords: vehicle; prediction; model; temporal features ... See more keywords
Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3156931
Abstract: Absence seizure as a generalized onset seizure, simultaneously spreading seizure to both sides of the brain, involves around ten-second sudden lapses of consciousness. It common occurs in children than adults, which affects living quality even… read more here.
Keywords: temporal features; spectral temporal; absence seizure; seizure ... See more keywords
Acoustic emotion recognition using spectral and temporal features
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5067962
Abstract: In this paper, utility of different low- level, spectral and temporal features is evaluated for the task of emotion recognition. The aim of an ideal speech emotion recognition system is to extract features that are… read more here.
Keywords: temporal features; emotion recognition; speech; spectral temporal ... See more keywords
A Multilevel Temporal Context Network for Sleep Stage Classification
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6104736
Abstract: Sleep stage classification is essential in diagnosing and treating sleep disorders. Many deep learning models have been proposed to classify sleep stages by automatic learning features and temporal context information. These temporal context features come… read more here.
Keywords: temporal features; sleep stage; stage classification; temporal context ... See more keywords
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
Sign Up to like & getrecommendations! Published in 2019 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-018-0717-4
Abstract: BackgroundAdverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance… read more here.
Keywords: temporal features; framework; multi variate; classification framework ... See more keywords