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Items where Author is "Zhu, R."

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Article

De Mori, L., Haberman, S. ORCID: 0000-0003-2269-9759, Millossovich, P. ORCID: 0000-0001-8269-7507 & Zhu, R. ORCID: 0000-0002-9944-0369 (2024). Two-population Mortality Forecasting: An Approach Based on Model Averaging. Risks, 12(4), doi: 10.3390/risks12040060

Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F., Yang, W. & Jing-Hao, X. (2023). Statistical hypothesis testing as a novel perspective of pooling for image quality assessment. Signal Processing: Image Communication, 114, article number 116942. doi: 10.1016/j.image.2023.116942

Liu, X., Song, Q., Wu, J. , Zhu, R. ORCID: 0000-0002-9944-0369, Ma, Z. & Xue, J. (2023). Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Transactions on Circuits and Systems for Video Technology, 33(12), pp. 7530-7540. doi: 10.1109/tcsvt.2023.3275382

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

Asimit, V. ORCID: 0000-0002-7706-0066, Kyriakou, I. ORCID: 0000-0001-9592-596X, Santoni, S. ORCID: 0000-0002-5928-3901 , Scognamiglio, S. & Zhu, R. ORCID: 0000-0002-9944-0369 (2022). Robust Classification via Support Vector Machines. Risks, 10(8), article number 154. doi: 10.3390/risks10080154

Tsanakas, A. ORCID: 0000-0003-4552-5532 & Zhu, R. ORCID: 0000-0002-9944-0369 (2022). Selecting bivariate copula models using image recognition. Astin Bulletin, 52(3), pp. 707-734. doi: 10.1017/asb.2022.12

Wang, Z., Liu, Y., Zhu, R. ORCID: 0000-0002-9944-0369 , Yang, W. & Liao, Q. (2022). Lightweight Single Image Super-Resolution With Similar Feature Fusion Block. IEEE ACCESS, 10, pp. 30974-30981. doi: 10.1109/access.2022.3158936

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, article number 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, article number 108190. doi: 10.1016/j.patcog.2021.108190

Zhu, R. ORCID: 0000-0002-9944-0369 & Wüthrich, M. V. (2020). Clustering driving styles via image processing. Annals of Actuarial Science, 15(2), pp. 1-15. doi: 10.1017/s1748499520000317

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, 31(10), pp. 3866-3876. 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, 398, pp. 291-292. 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, 382-38, 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

Conference or Workshop Item

Ren, K., Guo, Z., Zhang, Z. , Zhu, R. ORCID: 0000-0002-9944-0369 & Li, X. (2022). Multi-Branch Network for Few-shot Learning. In: Proceedings of 2022 Asia-Pacific signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7-10 Nov 2022, Chiang Mai, Thailand. doi: 10.23919/APSIPAASC55919.2022.9980160

Working Paper

Tsanakas, A. ORCID: 0000-0003-4552-5532 & Zhu, R. ORCID: 0000-0002-9944-0369 (2021). Copula model selection using image recognition. .

This list was generated on Thu Mar 28 06:39:06 2024 UTC.