Yantao Wei

Orcid: 0000-0001-7225-1958

According to our database1, Yantao Wei authored at least 46 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Understanding the effect of video conferencing learning environments on students' engagement: The role of basic psychological needs.
J. Comput. Assist. Learn., February, 2024

2023
Using Double-Layer Patch-Based Contrast for Infrared Small Target Detection.
Remote. Sens., August, 2023

Multiscale principle of relevant information for hyperspectral image classification.
Mach. Learn., April, 2023

Semantic Correntropy Representation for Hyperspectral Image Classification.
IEEE Trans. Instrum. Meas., 2023

Triple Contrastive Representation Learning for Hyperspectral Image Classification With Noisy Labels.
IEEE Trans. Geosci. Remote. Sens., 2023

Nonlocal Correntropy Matrix Representation for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

PhysBench: A Benchmark Framework for Remote Physiological Sensing with New Dataset and Baseline.
CoRR, 2023

ICAPD Framework and simAM-YOLOv8n for Student Cognitive Engagement Detection in Classroom.
IEEE Access, 2023

2022
Local Correntropy Matrix Representation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Bimodal Learning Engagement Recognition from Videos in the Classroom.
Sensors, 2022

Spectral-Spatial Classification of Hyperspectral Image Using Improved Functional Principal Component Analysis.
IEEE Geosci. Remote. Sens. Lett., 2022

Hierarchical broad learning system for hyperspectral image classification.
IET Image Process., 2022

2021
Locally Homogeneous Covariance Matrix Representation for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Spatial-Aware Network for Hyperspectral Image Classification.
Remote. Sens., 2021

Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

2020
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Depth-based human activity recognition via multi-level fused features and fast broad learning system.
Int. J. Distributed Sens. Networks, 2020

Feature Correlation Residual Network for Fine-Grained Image Recognition.
IEEE Access, 2020

Improved Local Covariance Matrix Representation for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Review of Deep Learning-Based Personalized Learning Recommendation.
Proceedings of the IC4E 2020: The 11th International Conference on E-Education, 2020

2019
Concept drift detection and adaptation with hierarchical hypothesis testing.
J. Frankl. Inst., 2019

Student body gesture recognition based on Fisher broad learning system.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Multiscale Principle of Relevant Information for Hyperspectral Image Classification.
CoRR, 2019

Student Action Recognition Based on Multiple Features.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018
High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2018

A reliability estimation approach via Wiener degradation model with measurement errors.
Appl. Math. Comput., 2018

2017
Spectral-Spatial Response for Hyperspectral Image Classification.
Remote. Sens., 2017

High School Statistical Graph Classification Using Hierarchical Model for Intelligent Mathematics Problem Solving.
Proceedings of the Image and Video Technology, 2017

2016
Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification.
IEEE Trans. Cybern., 2016

Multiscale patch-based contrast measure for small infrared target detection.
Pattern Recognit., 2016

Small infrared target detection based on image patch ordering.
Int. J. Wavelets Multiresolution Inf. Process., 2016

A Parzen window-based approach to detection of infrared dim target under sea-sky background.
Int. J. Autom. Comput., 2016

Local one-dimensional embedding interpolation for hyperspectral image classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Stacked Tensor Subspace Learning for hyperspectral image classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multi-view Latent Space Learning Based on Local Discriminant Embedding.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2014
A Local Contrast Method for Small Infrared Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2014

Hierarchical kernel-based rotation and scale invariant similarity.
Pattern Recognit., 2014

Sparse-based neural response for image classification.
Neurocomputing, 2014

2013
Hierarchical Feature Extraction With Local Neural Response for Image Recognition.
IEEE Trans. Cybern., 2013

Hierarchical Sparse Method with Applications in Vision and speech Recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2013

Background suppression of small target image based on fast local reverse entropy operator.
IET Comput. Vis., 2013

2012
Similarity learning for object recognition based on derived kernel.
Neurocomputing, 2012

Object categorization based on hierarchical learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Instantaneous frequencies of simple waves and their application to sleep spindle detection.
Proceedings of the IEEE International Conference on Systems, 2011

2010
Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2010

2009
Tensor Locality Sensitive Discriminant Analysis and its Complexity.
Int. J. Wavelets Multiresolution Inf. Process., 2009


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