Jun-Bao Li

54 papers C 4Journal 38Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Feature space expansion and compression with spatial-spectral augmentation for hyperspectral image Class-Incremental Learning.
Pattern Recognit.
Ran Wu, Huanyu Liu, Zongcheng Yue, Chiu-Wing Sham, Jun-Bao Li
2025 J jnl
Feature-matching method based on keypoint response constraint using binary encoding of phase congruency.
Pattern Recognit.
Xiaomin Liu, Qiqi Li, Yuzhe Hu, Jeng-Shyang Pan, Huaqi Zhao, Donghua Yuan, Jun-Bao Li
2024 J jnl
Hyper-feature aggregation and relaxed distillation for class incremental learning.
Pattern Recognit.
Ran Wu, Huanyu Liu, Zongcheng Yue, Jun-Bao Li, Chiu-Wing Sham
2024 J jnl
Improved object detection method for unmanned driving based on Transformers.
Frontiers Neurorobotics
Huaqi Zhao, Xiang Peng, Su Wang, Jun-Bao Li, Jeng-Shyang Pan, Xiaoguang Su, Xiaomin Liu
2023 J jnl
ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification.
Knowl. Based Syst.
Ran Wu, Huanyu Liu, Jun-Bao Li
2023 J jnl
Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection.
Appl. Intell.
Xiaomin Liu, Donghua Yuan, Kai Xue, Jun-Bao Li, Huaqi Zhao, Huanyu Liu, Tingting Wang
2022 J jnl
Adaptive gradients and weight projection based on quantized neural networks for efficient image classification.
Comput. Vis. Image Underst.
Ran Wu, Huanyu Liu, Jun-Bao Li
2021 J jnl
An advanced gradient texture feature descriptor based on phase information for infrared and visible image matching.
Multim. Tools Appl.
Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan, Shuo Wang
2021 J jnl
Improved binary pigeon-inspired optimization and its application for feature selection.
Appl. Intell.
Jeng-Shyang Pan, Ai-Qing Tian, Shu-Chuan Chu, Jun-Bao Li
2020 J jnl
Image-matching framework based on region partitioning for target image location.
Telecommun. Syst.
Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan, Shuo Wang, Xudong Lv, Shuanglong Cui
2020 J jnl
Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature.
IEEE Access
Xiuyuan Chen, Xiyuan Peng, Jun-Bao Li, Chaoying Huo
2019 J jnl
Bilinear discriminant feature line analysis for image feature extraction.
CoRR
Lijun Yan, Jun-Bao Li, Xiaorui Zhu, Jeng-Shyang Pan, Lin-Lin Tang
2019 J jnl
Feature Point Matching Based on Distinct Wavelength Phase Congruency and Log-Gabor Filters in Infrared and Visible Images.
Sensors
Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan
2018 J jnl
Hierarchical search strategy in particle filter framework to track infrared target.
Neural Comput. Appl.
Zhen Shi, Chang'an Wei, Jun-Bao Li, Ping Fu, Shouda Jiang
2018 J jnl
Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction.
Biomed. Signal Process. Control.
Jun-Bao Li, Huan-Yu Liu, Jeng-Shyang Pan, Hongxun Yao
2017 J jnl
NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method.
Algorithms
Peng Sun, Zhiming Yang, Yang Yu, Jun-Bao Li, Xiyuan Peng
2016 J jnl
NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics.
Algorithms
Zhiming Yang, Jun-Bao Li, Yang Yu, Xiyuan Peng
2016 J jnl
Overview of Deep Kernel Learning Based Techniques and Applications.
J. Netw. Intell.
Xiuyuan Chen, Xiyuan Peng, Jun-Bao Li, Yu Peng
2016 J jnl
Parallel search strategy in kernel feature space to track FLIR target.
Neurocomputing
Zhen Shi, Chang'an Wei, Jun-Bao Li, Ping Fu, Shouda Jiang
2016 J jnl
The Classification of Synthetic Aperture Radar Image Target Based on Deep Learning.
J. Inf. Hiding Multim. Signal Process.
Xiuyuan Chen, Xiyuan Peng, Yu Peng, Jun-Bao Li
2015 — conf
A Unified Framework of Single Image Haze Removal under Different Weather Conditions.
ECC
Yi-Fan Li, Qiang Su, Jeng-Shyang Pan, Jun-Bao Li, Wei Cui, Huan-Yu Liu
2015 — conf
Image Segmentation Using KFTBES.
ICGEC (1)
Yi-Fan Li, Wei Cui, Jeng-Shyang Pan, Jun-Bao Li, Qiang Su
2015 J jnl
Locality structure preserving based feature selection for prognostics.
Intell. Data Anal.
Yu Peng, Yong Xu, Datong Liu, Jun-Bao Li
2014 — conf
A Novel Watermarked Multiple Description Scalar Quantization Coding Framework.
IEA/AIE (1)
Lin-Lin Tang, Jeng-Shyang Pan, Jun-Bao Li
2014 J jnl
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting.
Neural Comput. Appl.
Yu Peng, Miao Lei, Jun-Bao Li, Xiyuan Peng
2014 — conf
Genetic Generalized Discriminant Analysis and Its Applications.
IEA/AIE (1)
Lijun Yan, Lin-Lin Tang, Shu-Chuan Chu, Xiaorui Zhu, Jun-Bao Li, Xiaochuan Guo
2014 J jnl
Kernel self-optimization learning for kernel-based feature extraction and recognition.
Inf. Sci.
Jun-Bao Li, Yun-Heng Wang, Shu-Chuan Chu, John F. Roddick
2014 J jnl
Optimizing Matrix Mapping with Data Dependent Kernel for Image Classification.
J. Inf. Hiding Multim. Signal Process.
Delong Zhang, Jiaqing Qiao, Jun-Bao Li, Liyan Qiao, Shu-Chuan Chu, John F. Roddick
2013 J jnl
3D model classification based on nonparametric discriminant analysis with kernels.
Neural Comput. Appl.
Jun-Bao Li, Wen-He Sun, Yun-Heng Wang, Lin-Lin Tang
2013 J jnl
Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis.
Inf. Sci.
Jun-Bao Li, Yu Peng, Datong Liu
2012 J jnl
Breast Tissue Image Classification Based on Semi-supervised Locality Discriminant Projection with Kernels.
J. Medical Syst.
Jun-Bao Li, Yang Yu, Zhiming Yang, Lin-Lin Tang
2012 J jnl
Mammographic Image Based Breast Tissue Classification with Kernel Self-optimized Fisher Discriminant for Breast Cancer Diagnosis.
J. Medical Syst.
Jun-Bao Li
2012 — conf
Medical Image Super-resolution Analysis with Sparse Representation.
IIH-MSP
Yun-Heng Wang, Jun-Bao Li, Ping Fu
2012 J jnl
Multiple Viewpoints Based Overview for Face Recognition.
J. Inf. Hiding Multim. Signal Process.
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Lakhmi C. Jain
2012 J jnl
Novel Watermarked MDC System Based on SFQ Algorithm.
IEICE Trans. Commun.
Lin-Lin Tang, Jeng-Shyang Pan, Hao Luo, Jun-Bao Li
2012 J jnl
Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition.
Neural Comput. Appl.
Jun-Bao Li, Huijun Gao
2011 J jnl
Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition.
Neurocomputing
Jun-Bao Li, Jeng-Shyang Pan, Shyi-Ming Chen
2010 — conf
Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition.
ICUIMC
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2009 — conf
Extracting Invariable Features Using Geometry Projection Based Histogram Model for 3D Object Description.
IIH-MSP
Jun-Bao Li, Longjiang Yu, Shize Guo
2009 J jnl
Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models.
Neural Comput. Appl.
Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu
2009 J jnl
Kernel optimization-based discriminant analysis for face recognition.
Neural Comput. Appl.
Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu
2008 J jnl
Adaptive quasiconformal kernel discriminant analysis.
Neurocomputing
Jeng-Shyang Pan, Jun-Bao Li, Zhe-Ming Lu
2008 J jnl
Discriminant Parallel Feature Fusion Based on Maximum Margin Criterion for Pattern Classification.
J. Digit. Inf. Manag.
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2008 J jnl
Kernel class-wise locality preserving projection.
Inf. Sci.
Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu
2007 — conf
2D(PC)2 A for Face Recognition with One Training Image per Person.
IIH-MSP
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2007 C conf
A Criterion for Learning the Data-Dependent Kernel for Classification.
ADMA
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2007 — conf
Face Recognition from a Single Image per Person Using Common Subfaces Method.
ISNN (2)
Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu
2007 C conf
Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification.
ISDA
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2007 C conf
Locally Discriminant Projection with Kernels for Feature Extraction.
ADMA
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2006 — conf
A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images.
IIH-MSP
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Jiun-Huei Ho
2006 J jnl
Adaptive Kernel Discriminant Analysis and its Applications on Pattern Recognition.
Int. J. Inf. Acquis.
Jun-Bao Li, Jeng-Shyang Pan
2006 — conf
An Efficient Reformative Kernel Discriminant Analysis for Face Recognition.
ROBIO
Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu
2006 C conf
Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition.
ISCAS
Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu, Jung-Chou Harry Chang
2006 — conf
Discriminant Feature Fusion Strategy for Supervised Learning.
IIH-MSP
Jun-Bao Li, Shu-Chuan Chu, Jung-Chou Harry Chang, Jeng-Shyang Pan