Items where Author is "Xue, J-H."
Article
Li, X., Li, Y., Zheng, Y. , Zhu, R. 
ORCID: 0000-0002-9944-0369, Ma, Z., Xue, J-H. & Cao, J. (2023).
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing, 520,
pp. 356-364.
doi: 10.1016/j.neucom.2022.11.082
Lu, X., Qiao, Y., Zhu, R. ORCID: 0000-0002-9944-0369 , Wang, G., Ma, Z. & Xue, J-H. (2021).
Generalisations of stochastic supervision models.
Pattern Recognition, 109,
107575.
doi: 10.1016/j.patcog.2020.107575
Sogi, N., Zhu, R. ORCID: 0000-0002-9944-0369, Xue, J-H. & Fukui, K. (2021).
Constrained mutual convex cone method for image set based recognition.
Pattern Recognition, 121,
108190.
doi: 10.1016/j.patcog.2021.108190
Zhu, R. ORCID: 0000-0002-9944-0369, Guo, Y. & Xue, J-H. (2020).
Adjusting the imbalance ratio by the dimensionality of imbalanced data.
Pattern Recognition Letters, 133,
pp. 217-223.
doi: 10.1016/j.patrec.2020.03.004
Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Z., Sogi, N. , Fukui, K. & Xue, J-H. (2019).
A Novel Separating Hyperplane Classification Framework to Unify Nearest-class-model Methods for High-dimensional Data.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2019.2946967
Yang, W., Zhou, F., Zhu, R. ORCID: 0000-0002-9944-0369 , Fukui, K., Wang, G. & Xue, J-H. (2019).
Deep learning for image super-resolution.
Neurocomputing,
doi: 10.1016/j.neucom.2019.09.091
Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2018).
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Information Sciences, 481,
pp. 69-80.
doi: 10.1016/j.ins.2018.12.061
Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Z., Ma, Z. , Wang, G. & Xue, J-H. (2018).
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test.
Pattern Recognition Letters, 116,
pp. 36-42.
doi: 10.1016/j.patrec.2018.09.012
Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F., Yang, W. & Xue, J-H. (2018).
On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks].
IEEE Signal Processing Magazine, 35(4),
pp. 133-136.
doi: 10.1109/MSP.2018.2829209
Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2018).
Cone-based joint sparse modelling for hyperspectral image classification.
Signal Processing, 144,
pp. 417-429.
doi: 10.1016/j.sigpro.2017.11.001
Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F. & Xue, J-H. (2018).
MvSSIM: A quality assessment index for hyperspectral images.
Neurocomputing, 272,
pp. 250-257.
doi: 10.1016/j.neucom.2017.06.073
Zhu, R. ORCID: 0000-0002-9944-0369 & Xue, J-H. (2017).
On the orthogonal distance to class subspaces for high-dimensional data classification.
Information Sciences, 417,
pp. 262-273.
doi: 10.1016/j.ins.2017.07.019
Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2017).
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection.
IEEE Transactions on Image Processing, 26(11),
pp. 5447-5461.
doi: 10.1109/TIP.2017.2740621
Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2017).
Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data.
Information Sciences, 382,
pp. 1-14.
doi: 10.1016/j.ins.2016.12.001
Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2014).
Spectral non-local restoration of hyperspectral images with low-rank property.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(6),
pp. 3062-3067.
doi: 10.1109/JSTARS.2014.2370062