Jing-Hao Xue

According to our database1, Jing-Hao Xue authored at least 55 papers between 2000 and 2019.

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Bibliography

2019
A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding.
Neurocomputing, 2019

2018
Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Trans. Neural Netw. Learning Syst., 2018

SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment.
IEEE Trans. Image Processing, 2018

On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks].
IEEE Signal Process. Mag., 2018

Cone-based joint sparse modelling for hyperspectral image classification.
Signal Processing, 2018

MvSSIM: A quality assessment index for hyperspectral images.
Neurocomputing, 2018

No-reference image quality assessment for photographic images based on robust statistics.
Neurocomputing, 2018

Matched shrunken subspace detectors for hyperspectral target detection.
Neurocomputing, 2018

Discriminatively guided filtering (DGF) for hyperspectral image classification.
Neurocomputing, 2018

Deep Learning for Single Image Super-Resolution: A Brief Review.
CoRR, 2018

SEA: A Combined Model for Heat Demand Prediction.
CoRR, 2018

BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint.
CoRR, 2018

Metric Learning via Maximizing the Lipschitz Margin Ratio.
CoRR, 2018

Learning Local Metrics and Influential Regions for Classification.
CoRR, 2018

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection.
IEEE Trans. Image Processing, 2017

Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Trans. Image Processing, 2017

Joint sparse model-based discriminative K-SVD for hyperspectral image classification.
Signal Processing, 2017

The matched subspace detector with interaction effects.
Pattern Recognition, 2017

On the orthogonal distance to class subspaces for high-dimensional data classification.
Inf. Sci., 2017

Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data.
Inf. Sci., 2017

Decorrelation of Neutral Vector Variables: Theory and Applications.
CoRR, 2017

What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings in Bioinformatics, 2017

Transferring CNNS to multi-instance multi-label classification on small datasets.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Sufficient Canonical Correlation Analysis.
IEEE Trans. Image Processing, 2016

A novel hierarchical framework for human action recognition.
Pattern Recognition, 2016

Randomized time warping for motion recognition.
Image Vision Comput., 2016

Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing, 2016

Latent variable pictorial structure for human pose estimation on depth images.
Neurocomputing, 2016

2015
Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection.
IEEE Signal Process. Lett., 2015

Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Embedding metric learning into set-based face recognition for video surveillance.
Neurocomputing, 2015

Depth-images-based pose estimation using regression forests and graphical models.
Neurocomputing, 2015

MiLDA: A graph embedding approach to multi-view face recognition.
Neurocomputing, 2015

2014
Detection of user-registered dog faces.
Neurocomputing, 2014

Fisher's linear discriminant embedded metric learning.
Neurocomputing, 2014

Deformable Part-Based Model Transfer for Object Detection.
IEICE Transactions, 2014

On selecting interacting features from high-dimensional data.
Computational Statistics & Data Analysis, 2014

2012
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding.
Pattern Recognition Letters, 2012

2011
t -Tests, F -Tests and Otsu's Methods for Image Thresholding.
IEEE Trans. Image Processing, 2011

Median-based image thresholding.
Image Vision Comput., 2011

2010
Joint discriminative-generative modelling based on statistical tests for classification.
Pattern Recognition Letters, 2010

On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance.
Computational Statistics & Data Analysis, 2010

2009
Interpretation of hybrid generative/discriminative algorithms.
Neurocomputing, 2009

2008
Short note on two output-dependent hidden Markov models.
Pattern Recognition Letters, 2008

Do unbalanced data have a negative effect on LDA?
Pattern Recognition, 2008

Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes".
Neural Processing Letters, 2008

2005
Making XML document markup international.
Softw., Pract. Exper., 2005

2003
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images.
Pattern Recognition Letters, 2003

Localizing XML Documents through XSLT.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2001
Knowledge-based segmentation and labeling of brain structures from MRI images.
Pattern Recognition Letters, 2001

A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Med. Imaging, 2000

Unsupervised Segmentation of Three-Dimensional Brain Images.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000


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