According to our database1, Jing-Hao Xue authored at least 56 papers between 2000 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Inf. Sci., 2019
Image-text dual neural network with decision strategy for small-sample image classification.
A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding.
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
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test.
Pattern Recognition Letters, 2018
MvSSIM: A quality assessment index for hyperspectral images.
No-reference image quality assessment for photographic images based on robust statistics.
Matched shrunken subspace detectors for hyperspectral target detection.
Discriminatively guided filtering (DGF) for hyperspectral image classification.
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Spectral Super-resolution for RGB Images using Class-based BP Neural Networks.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
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
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
Sufficient Canonical Correlation Analysis.
IEEE Trans. Image Processing, 2016
Denoising of Hyperspectral Images Using Group Low-Rank Representation.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 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.
Latent variable pictorial structure for human pose estimation on depth images.
Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 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.
Depth-images-based pose estimation using regression forests and graphical models.
MiLDA: A graph embedding approach to multi-view face recognition.
Detection of user-registered dog faces.
Fisher's linear discriminant embedded metric learning.
Deformable Part-Based Model Transfer for Object Detection.
IEICE Transactions, 2014
On selecting interacting features from high-dimensional data.
Computational Statistics & Data Analysis, 2014
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding.
Pattern Recognition Letters, 2012
t -Tests, F -Tests and Otsu's Methods for Image Thresholding.
IEEE Trans. Image Processing, 2011
Median-based image thresholding.
Image Vision Comput., 2011
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
Interpretation of hybrid generative/discriminative algorithms.
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
Making XML document markup international.
Softw., Pract. Exper., 2005
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
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
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