Junbao Li

Orcid: 0000-0002-5916-4996

According to our database1, Junbao Li authored at least 80 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images.
Remote. Sens., March, 2024

2023
A Task-Risk Consistency Object Detection Framework Based on Deep Reinforcement Learning.
Remote. Sens., October, 2023

ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification.
Knowl. Based Syst., October, 2023

SSTP: Stock Sector Trend Prediction with Temporal-Spatial Network.
Inf. Technol. Control., September, 2023

Domain migration representation learning for blind magnetic resonance image super-resolution.
Biomed. Signal Process. Control., September, 2023

Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection.
Appl. Intell., April, 2023

Parallel binary arithmetic optimization algorithm and its application for feature selection.
Knowl. Based Syst., 2023

2022
Spectral-Spatial Classification of Few Shot Hyperspectral Image With Deep 3-D Convolutional Random Fourier Features Network.
IEEE Trans. Geosci. Remote. Sens., 2022

Generalized Radar Range Equation Applied to the Whole Field Region.
Sensors, 2022

Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification.
Knowl. Based Syst., 2022

Adaptive gradients and weight projection based on quantized neural networks for efficient image classification.
Comput. Vis. Image Underst., 2022

A novel dynamic graph evolution network for salient object detection.
Appl. Intell., 2022

Visual tracking via dynamic saliency discriminative correlation filter.
Appl. Intell., 2022

2021
Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection.
IEEE Trans. Image Process., 2021

An advanced gradient texture feature descriptor based on phase information for infrared and visible image matching.
Multim. Tools Appl., 2021

SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition.
Neurocomputing, 2021

Improved binary pigeon-inspired optimization and its application for feature selection.
Appl. Intell., 2021

2020
Image-matching framework based on region partitioning for target image location.
Telecommun. Syst., 2020

Video Salient Object Detection via Robust Seeds Extraction and Multi-Graphs Manifold Propagation.
IEEE Trans. Circuits Syst. Video Technol., 2020

DWS-MKL: Depth-width-scaling multiple kernel learning for data classification.
Neurocomputing, 2020

Coarse Semantic-Based Motion Removal for Robust Mapping in Dynamic Environments.
IEEE Access, 2020

Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature.
IEEE Access, 2020

2019
Video Saliency Detection via Graph Clustering With Motion Energy and Spatiotemporal Objectness.
IEEE Trans. Multim., 2019

Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection.
IEEE Trans. Ind. Informatics, 2019

Feature Point Matching Based on Distinct Wavelength Phase Congruency and Log-Gabor Filters in Infrared and Visible Images.
Sensors, 2019

Bilinear discriminant feature line analysis for image feature extraction.
CoRR, 2019

Multiple Feature Point Discriminant Analysis and Its Application to Feature Extraction.
Proceedings of the 2nd International Conference on Electronics and Electrical Engineering Technology, 2019

2018
Hierarchical search strategy in particle filter framework to track infrared target.
Neural Comput. Appl., 2018

A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images.
Neural Comput. Appl., 2018

A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning.
Inf. Sci., 2018

Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction.
Biomed. Signal Process. Control., 2018

2017
MWPCA-ICURD: density-based clustering method discovering specific shape original features.
Neural Comput. Appl., 2017

NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method.
Algorithms, 2017

2016
DEDF: lightweight WSN distance estimation using RSSI data distribution-based fingerprinting.
Neural Comput. Appl., 2016

Overview of Deep Kernel Learning Based Techniques and Applications.
J. Netw. Intell., 2016

The Classification of Synthetic Aperture Radar Image Target Based on Deep Learning.
J. Inf. Hiding Multim. Signal Process., 2016

Parallel search strategy in kernel feature space to track FLIR target.
Neurocomputing, 2016

A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images.
Neurocomputing, 2016

NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics.
Algorithms, 2016

Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification.
Proceedings of the Third International Conference on Computing Measurement Control and Sensor Network, 2016

2015
An improving analytical model with high accuracy for a micro manipulator.
J. Inf. Hiding Multim. Signal Process., 2015

Locality structure preserving based feature selection for prognostics.
Intell. Data Anal., 2015

Regularized multivariable grey model for stable grey coefficients estimation.
Expert Syst. Appl., 2015

Multiple data-dependent kernel for classification of hyperspectral images.
Expert Syst. Appl., 2015

Multi-Objective Design Optimization of an Over-Constrained Flexure-Based Amplifier.
Algorithms, 2015

Image Segmentation Using KFTBES.
Proceedings of the Genetic and Evolutionary Computing, 2015

A Unified Framework of Single Image Haze Removal under Different Weather Conditions.
Proceedings of the Intelligent Data Analysis and Applications, 2015

2014
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting.
Neural Comput. Appl., 2014

Optimizing Matrix Mapping with Data Dependent Kernel for Image Classification.
J. Inf. Hiding Multim. Signal Process., 2014

Kernel self-optimization learning for kernel-based feature extraction and recognition.
Inf. Sci., 2014

Genetic Generalized Discriminant Analysis and Its Applications.
Proceedings of the Modern Advances in Applied Intelligence, 2014

A Novel Watermarked Multiple Description Scalar Quantization Coding Framework.
Proceedings of the Modern Advances in Applied Intelligence, 2014

2013
3D model classification based on nonparametric discriminant analysis with kernels.
Neural Comput. Appl., 2013

Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis.
Inf. Sci., 2013

Nonlinear low frequency water waves in a cylindrical shell subjected to high frequency excitations - Part I: Experimental study.
Commun. Nonlinear Sci. Numer. Simul., 2013

Quasi-static and Modal Analysis of Bridge-Type Compliant Mechanism with Flexure Hinges.
Proceedings of the Second International Conference on Robot, Vision and Signal Processing, 2013

2012
Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition.
Neural Comput. Appl., 2012

Breast Tissue Image Classification Based on Semi-supervised Locality Discriminant Projection with Kernels.
J. Medical Syst., 2012

Mammographic Image Based Breast Tissue Classification with Kernel Self-optimized Fisher Discriminant for Breast Cancer Diagnosis.
J. Medical Syst., 2012

Multiple Viewpoints Based Overview for Face Recognition.
J. Inf. Hiding Multim. Signal Process., 2012

Novel Watermarked MDC System Based on SFQ Algorithm.
IEICE Trans. Commun., 2012

Medical Image Super-resolution Analysis with Sparse Representation.
Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012

2011
Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition.
Neurocomputing, 2011

2010
Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition.
Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication, 2010

2009
Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models.
Neural Comput. Appl., 2009

Kernel optimization-based discriminant analysis for face recognition.
Neural Comput. Appl., 2009

Extracting Invariable Features Using Geometry Projection Based Histogram Model for 3D Object Description.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

2008
Discriminant Parallel Feature Fusion Based on Maximum Margin Criterion for Pattern Classification.
J. Digit. Inf. Manag., 2008

Kernel class-wise locality preserving projection.
Inf. Sci., 2008

Adaptive quasiconformal kernel discriminant analysis.
Neurocomputing, 2008

2007
Face Recognition from a Single Image per Person Using Common Subfaces Method.
Proceedings of the Advances in Neural Networks, 2007

Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2D(PC)2 A for Face Recognition with One Training Image per Person.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

Locally Discriminant Projection with Kernels for Feature Extraction.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

A Criterion for Learning the Data-Dependent Kernel for Classification.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
Adaptive Kernel Discriminant Analysis and its Applications on Pattern Recognition.
Int. J. Inf. Acquis., 2006

An Efficient Reformative Kernel Discriminant Analysis for Face Recognition.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images.
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

Discriminant Feature Fusion Strategy for Supervised Learning.
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006


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