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2020 – today
- 2025
[j90]Xiaofang Li, Weiwei Wang, Yu Han, Xiangchu Feng:
Structure aware transfer function network for low light image enhancement. Eng. Appl. Artif. Intell. 141: 109749 (2025)- 2024
- [j89]Xiaofang Li
, Weiwei Wang, Xiangchu Feng, Min Li:
Deep parametric Retinex decomposition model for low-light image enhancement. Comput. Vis. Image Underst. 241: 103948 (2024) - [j88]Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng:
Transformer Autoencoder for K-means Efficient clustering. Eng. Appl. Artif. Intell. 133: 108612 (2024) - [j87]Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng:
Iterative decoupling deconvolution network for image restoration. J. Vis. Commun. Image Represent. 104: 104288 (2024) - [j86]Tingting Qi, Xiangchu Feng, Bian Gao, Kun Wang:
An end-to-end Graph Convolutional Network for Semi-supervised Subspace Clustering via label self-expressiveness. Knowl. Based Syst. 286: 111393 (2024) - [j85]Tingting Qi, Xiangchu Feng, Weiwei Wang:
A game model for semi-supervised subspace clustering with dynamic affinity and label learning. Signal Process. 220: 109436 (2024) - [j84]Kun Wang, Xiangchu Feng, Xixi Jia, Tingting Qi:
A variable parameter variational model with application to real image denoising. Signal Process. 224: 109593 (2024) - [j83]Xixi Jia, Xiangchu Feng, Hongwei Yong, Deyu Meng:
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6936-6947 (2024) - [j82]Ruolan Tang, Weiwei Wang, Yu Han, Xiangchu Feng:
Grownbb: Gromov-Wasserstein learning of neural best buddies for cross-domain correspondence. Vis. Comput. 40(12): 8517-8530 (2024) - 2023
- [j81]Xiaofang Li, Weiwei Wang, Xiangchu Feng, Tingting Qi:
Cartoon-Texture decomposition with patch-wise decorrelation. J. Vis. Commun. Image Represent. 90: 103726 (2023) - [c30]Xiaoxiao Tan, Xiangchu Feng:
Fractional Order Image Registration Model Based on Infimal Convolution. ICCPR 2023: 422-426 - [c29]Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng:
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent. NeurIPS 2023 - 2022
- [j80]Xixi Jia, Deyu Meng, Xuande Zhang, Xiangchu Feng:
PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation. Inf. Sci. 610: 345-358 (2022) - [j79]Tingting Qi, Xiangchu Feng, Weiwei Wang, Xiaofang Li:
Game theory based Bi-domanial deep subspace clustering. Inf. Sci. 617: 150-164 (2022) - [j78]Rui Zhang, Lixia Yang, Guojun Liu, Xiangchu Feng:
Weighted Nuclear Norms of Transformed Tensors for Nonlocal Hyperspectral Image Denoising. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j77]Wenxiu Zhao, Weiwei Wang, Xiangchu Feng, Yu Han:
A new variational method for selective segmentation of medical images. Signal Process. 190: 108292 (2022) - [j76]Chunyu Yang, Weiwei Wang, Xiangchu Feng:
Joint image restoration and edge detection in cooperative game formulation. Signal Process. 191: 108363 (2022) - [j75]Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia:
Deep RED Unfolding Network for Image Restoration. IEEE Trans. Image Process. 31: 852-867 (2022) - [j74]Xiaoyan Li, Lixia Cao, Tonghui Wang, Xiangchu Feng:
Base on the Public Scientific Quality Improvement Research on Risk Early Warning of Online Shopping. Wirel. Pers. Commun. 126(1): 621-634 (2022) - [i5]Lida Li, Shuai Li, Kun Wang, Xiangchu Feng, Lei Zhang:
Towards Robust 2D Convolution for Reliable Visual Recognition. CoRR abs/2203.09790 (2022) - 2021
- [j73]Bingzhe Wei, Xiangchu Feng, Weiwei Wang:
3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion. IEEE Access 9: 48531-48543 (2021) - [j72]Bingzhe Wei, Xiangchu Feng, Kun Wang, Bian Gao:
The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation. Entropy 23(7): 827 (2021) - [j71]Xixi Jia, Xiangchu Feng, Sanyang Liu:
Dual non-autonomous deep convolutional neural network for image denoising. Inf. Sci. 572: 263-276 (2021) - [j70]Wenjuan Zhang, Xiangchu Feng, Feng Xiao, Xudong Wang:
A class of bilinear matrix constraint optimization problem and its applications. Knowl. Based Syst. 231: 107429 (2021) - [j69]Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang:
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1627-1641 (2021) - 2020
- [j68]Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou:
Classification-Friendly Sparse Encoder and Classifier Learning. IEEE Access 8: 54494-54505 (2020) - [j67]Wenjuan Zhang, Xiangchu Feng, Yunmei Chen:
A Manifold Laplacian Regularized Semi-Supervised Sparse Image Classification Method With a Variant Trace Lasso Norm. IEEE Access 8: 97361-97369 (2020) - [j66]Mei Gao, Baosheng Kang, Xiangchu Feng, Lixia Cao, Wenjuan Zhang:
Low Dimensional Manifold Regularization Based Blind Image Inpainting and Non-Uniform Impulse Noise Recovery. IEEE Access 8: 200551-200560 (2020) - [j65]Jian Bai, Xiang-Chu Feng:
Image decomposition and denoising using fractional-order partial differential equations. IET Image Process. 14(14): 3471-3480 (2020) - [j64]Ruiqiang He, Xiangchu Feng, Weiwei Wang, Xiaolong Zhu, Chunyu Yang:
W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration. Neurocomputing 371: 108-123 (2020) - [j63]Chunyu Yang, Weiwei Wang, Xiangchu Feng, Ruiqiang He:
Group discriminative least square regression for multicategory classification. Neurocomputing 407: 175-184 (2020) - [c28]Bingzhe Wei, Xiangchu Feng, Kun Wang, Bing Gao:
The multi-focus image fusion method based on CNN and SR. ACAI 2020: 50:1-50:4 - [c27]Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang:
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform. ECCV (10) 2020: 562-579
2010 – 2019
- 2019
- [j62]Rui Zhang, Xiangchu Feng, Lixia Yang, Lihong Chang, Xiaolong Zhu:
A global sparse gradient based coupled system for image denoising. Comput. Math. Appl. 78(11): 3692-3711 (2019) - [j61]Lihong Chang, Xiangchu Feng, Xiaolong Zhu, Rui Zhang, Ruiqiang He, Chen Xu:
CT and MRI image fusion based on multiscale decomposition method and hybrid approach. IET Image Process. 13(1): 83-88 (2019) - [j60]Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu:
Online Schatten quasi-norm minimization for robust principal component analysis. Inf. Sci. 476: 83-94 (2019) - [j59]Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He:
A further study on the inequality constraints in stochastic configuration networks. Inf. Sci. 487: 77-83 (2019) - [j58]Xiang-Chu Feng, Chen-ping Zhao, Silong Peng, Xiyuan Hu, Zhao-Wei Ouyang:
Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation. J. Comput. Sci. Technol. 34(2): 476-493 (2019) - [j57]Liang Luo, Zhi-Qin Zhao, Xiaoping Li, Xiang-Chu Feng:
A stochastic image denoising method based on adaptive patch-size. Multidimens. Syst. Signal Process. 30(2): 705-725 (2019) - [j56]Mei Gao, Baosheng Kang, Xiangchu Feng, Wei Zhang, Wenjuan Zhang:
Anisotropic Diffusion Based Multiplicative Speckle Noise Removal. Sensors 19(14): 3164 (2019) - [j55]Chunyu Yang, Weiwei Wang, Xiangchu Feng, Xin Liu:
Weighted-l1-method-noise regularization for image deblurring. Signal Process. 157: 14-24 (2019) - [j54]Yafeng Li, Qijun Zhao, Xiangchu Feng, Weiwei Wang, Renrui Zhang, An Yan:
A variational image segmentation method exploring both intensity means and texture patterns. Signal Process. Image Commun. 76: 214-230 (2019) - [c26]Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang:
FOCNet: A Fractional Optimal Control Network for Image Denoising. CVPR 2019: 6054-6063 - [c25]Bingzhe Wei, Xiangchu Feng, Weiwei Wang, Ruiqiang He:
Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy. ICCPR 2019: 235-239 - [c24]Chunyu Yang, Weiwei Wang, Xiangchu Feng:
Group Discriminative Least Square Regression. ISICDM 2019: 324-329 - [c23]Qian Wang, Weiwei Wang, Xiangchu Feng:
Subspace Clustering by Relaxed Block Diagonal Representation. ISICDM 2019: 343-348 - 2018
- [j53]Chen-ping Zhao, Xiangchu Feng, Xixi Jia, Ruiqiang He, Chen Xu:
Root-transformation based multiplicative denoising model and its statistical analysis. Neurocomputing 275: 2666-2680 (2018) - [j52]Huazhu Chen, Weiwei Wang, Xiangchu Feng, Ruiqiang He:
Discriminative and coherent subspace clustering. Neurocomputing 284: 177-186 (2018) - [j51]Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang:
Bayesian inference for adaptive low rank and sparse matrix estimation. Neurocomputing 291: 71-83 (2018) - [j50]Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang:
An extended variational image decomposition model for color image enhancement. Neurocomputing 322: 216-228 (2018) - [j49]Jian Bai, Xiang-Chu Feng:
Image Denoising Using Generalized Anisotropic Diffusion. J. Math. Imaging Vis. 60(7): 994-1007 (2018) - [j48]Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu:
HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration. J. Vis. Commun. Image Represent. 57: 61-68 (2018) - [j47]Huazhu Chen, Weiwei Wang, Xiangchu Feng:
Structured Sparse Subspace Clustering with Within-Cluster Grouping. Pattern Recognit. 83: 107-118 (2018) - [j46]Weiwei Wang, Binbin Zhang, Xiangchu Feng:
Subspace Segmentation by Correlation Adaptive Regression. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2612-2621 (2018) - [j45]Lixia Yang, Min Wang, Shuyuan Yang, Hui Zhao, Licheng Jiao, Xiangchu Feng:
Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 56(5): 2491-2502 (2018) - [j44]Weiwei Wang, Chunyu Yang, Huazhu Chen, Xiangchu Feng:
Unified Discriminative and Coherent Semi-Supervised Subspace Clustering. IEEE Trans. Image Process. 27(5): 2461-2470 (2018) - [c22]Xiangchu Feng, Shuai Ma, Bingzhe Wei:
Single Image Dehazing Method Based on Cartoon-Texture Decomposition. CSAE 2018: 108:1-108:5 - [c21]Xiaoyan Liu, Xiang-Chu Feng, Xiaoping Li, Zhi-Qin Zhao:
Non-Local Means Denoising Algorithm Based on the Kernelized L2-Norm. ICMLC 2018: 138-142 - 2017
- [j43]Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. Int. J. Comput. Vis. 121(2): 183-208 (2017) - [j42]Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1089-1102 (2017) - [j41]Rui Zhang, Xiangchu Feng, Lixia Yang, Lihong Chang, Chen Xu:
Global sparse gradient guided variational Retinex model for image enhancement. Signal Process. Image Commun. 58: 270-281 (2017) - [c20]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. ICCV 2017: 1105-1113 - [c19]Jing Yuan, Ke Yin, Yi-Guang Bai, Xiang-Chu Feng, Xue-Cheng Tai:
Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. SSVM 2017: 524-534 - [i4]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. CoRR abs/1705.09912 (2017) - 2016
- [j40]Lihong Chang, Xiangchu Feng, Xiaoping Li, Rui Zhang:
A fusion estimation method based on fractional Fourier transform. Digit. Signal Process. 59: 66-75 (2016) - [j39]Xiaoping Li, Weiwei Wang, Xiangchu Feng, Xiaoyan Liu, Liang Luo:
Image denoising via bidirectional low rank representation with cluster adaptive dictionary. IET Image Process. 10(12): 952-961 (2016) - [j38]Si-Qi Wang, Xiang-Chu Feng, Weiwei Wang:
"Low-rank + dual" model based dimensionality reduction. Neurocomputing 178: 3-10 (2016) - [j37]Yafeng Li, Xiangchu Feng:
A multiscale image segmentation method. Pattern Recognit. 52: 332-345 (2016) - [j36]Xixi Jia, Xiangchu Feng, Weiwei Wang:
Rank constrained nuclear norm minimization with application to image denoising. Signal Process. 129: 1-11 (2016) - [c18]Sijia Cai, Lei Zhang, Wangmeng Zuo, Xiangchu Feng:
A Probabilistic Collaborative Representation Based Approach for Pattern Classification. CVPR 2016: 2950-2959 - [c17]Xixi Jia, Xiangchu Feng, Weiwei Wang:
Adaptive regularizer learning for low rank approximation with application to image denoising. ICIP 2016: 3096-3100 - [c16]Weiwei Wang, Cui-Ling Wu, Hua Huang, Xiang-Chu Feng:
Subspace clustering by weighted correlation adaptive regression. ICMLC 2016: 453-458 - [c15]Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu:
A Self-Representation Induced Classifier. IJCAI 2016: 2442-2448 - [i3]Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. CoRR abs/1605.04039 (2016) - 2015
- [j35]Leigang Huo, Xiangchu Feng, Chunlei Huo, Chunhong Pan:
Learning Deep Dictionary for Hyperspectral Image Denoising. IEICE Trans. Inf. Syst. 98-D(7): 1401-1404 (2015) - [j34]Xiaobo Zhang, Xiangchu Feng:
Image denoising using local adaptive layered Wiener filter in the gradient domain. Multim. Tools Appl. 74(23): 10495-10514 (2015) - [j33]Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang:
A divide-and-conquer stochastic alterable direction image denoising method. Signal Process. 108: 90-101 (2015) - [c14]Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng:
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV 2015: 244-252 - [c13]Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang:
Convolutional Sparse Coding for Image Super-Resolution. ICCV 2015: 1823-1831 - 2014
- [j32]Jianlou Xu, Xiangchu Feng, Yan Hao, Yu Han:
Adaptive variational models for image decomposition. Sci. China Inf. Sci. 57(2): 1-8 (2014) - [j31]Yu Han, Chen Xu, George Baciu, Xiangchu Feng:
Multiplicative noise removal combining a total variation regularizer and a nonconvex regularizer. Int. J. Comput. Math. 91(10): 2243-2259 (2014) - [j30]Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang:
Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification. Int. J. Comput. Vis. 109(3): 209-232 (2014) - [j29]Si-Qi Wang, Xiang-Chu Feng:
Optimization of the Regularization in Background and Foreground Modeling. J. Appl. Math. 2014: 592834:1-592834:10 (2014) - [j28]Xiaobo Zhang, Xiang-Chu Feng:
Multiple-step local Wiener filter with proper stopping in wavelet domain. J. Vis. Commun. Image Represent. 25(2): 254-262 (2014) - [j27]Leigang Huo, Xiangchu Feng, Chunlei Huo, Zhixin Zhou, Chunhong Pan:
Change Field: A New Change Measure for VHR Images. IEEE Geosci. Remote. Sens. Lett. 11(10): 1812-1816 (2014) - [j26]Jianlou Xu, Xiangchu Feng, Yan Hao:
A coupled variational model for image denoising using a duality strategy and split Bregman. Multidimens. Syst. Signal Process. 25(1): 83-94 (2014) - [j25]Jianlou Xu, Xiang-Chu Feng, Yan Hao, Yu Han:
Image decomposition using adaptive second-order total generalized variation. Signal Image Video Process. 8(1): 39-47 (2014) - [j24]Wen-Juan Zhang, Xiangchu Feng, Yu Han:
A novel image segmentation model with an edge weighting function. Signal Image Video Process. 8(1): 121-132 (2014) - [j23]Weiwei Wang, Dong Zhai, Tao Li, Xiangchu Feng:
Salient edge and region aware image retargeting. Signal Process. Image Commun. 29(10): 1223-1231 (2014) - [j22]Wufeng Xue, Xuanqin Mou, Lei Zhang, Alan C. Bovik, Xiangchu Feng:
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features. IEEE Trans. Image Process. 23(11): 4850-4862 (2014) - [c12]Tao Li, Weiwei Wang, Long Xu, Xiangchu Feng:
Image Denoising Using Low-Rank Dictionary and Sparse Representation. CIS 2014: 228-232 - [c11]Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng:
Weighted Nuclear Norm Minimization with Application to Image Denoising. CVPR 2014: 2862-2869 - [c10]Sijia Cai, Wangmeng Zuo, Lei Zhang, Xiangchu Feng, Ping Wang:
Support Vector Guided Dictionary Learning. ECCV (4) 2014: 624-639 - [c9]Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng:
Projective dictionary pair learning for pattern classification. NIPS 2014: 793-801 - [i2]Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Zongben Xu:
On the Optimal Solution of Weighted Nuclear Norm Minimization. CoRR abs/1405.6012 (2014) - 2013
- [j21]Xu-Dong Wang, Xiangchu Feng, Weiwei Wang, Wen-Juan Zhang:
Iterative reweighted total generalized variation based Poisson noise removal model. Appl. Math. Comput. 223: 264-277 (2013) - [j20]Xiaobo Zhang, Xiang-Chu Feng, Weiwei Wang, Shunli Zhang, Qunfeng Dong:
Gradient-based Wiener filter for image denoising. Comput. Electr. Eng. 39(3): 934-944 (2013) - [j19]Yafeng Li, Xiangchu Feng:
Coupled dictionary learning method for image decomposition. Sci. China Inf. Sci. 56(3): 1-10 (2013) - [j18]Guojun Liu, Xiang-Chu Feng, Weiwei Wang, Xuande Zhang:
Two Curvelets variational Models Depend on Decomposition Spaces. Int. J. Wavelets Multiresolution Inf. Process. 11(1) (2013) - [j17]Yu Han, Xiang-Chu Feng, George Baciu, Weiwei Wang:
Nonconvex sparse regularizer based speckle noise removal. Pattern Recognit. 46(3): 989-1001 (2013) - [j16]Yu Han, Xiang-Chu Feng, George Baciu:
Variational and PCA based natural image segmentation. Pattern Recognit. 46(7): 1971-1984 (2013) - [j15]Yu Han, Xiang-Chu Feng, George Baciu:
Local joint entropy based non-rigid multimodality image registration. Pattern Recognit. Lett. 34(12): 1405-1415 (2013) - [j14]Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Guojun Liu:
Image denoising via 2D dictionary learning and adaptive hard thresholding. Pattern Recognit. Lett. 34(16): 2110-2117 (2013) - [j13]Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Wufeng Xue:
Edge Strength Similarity for Image Quality Assessment. IEEE Signal Process. Lett. 20(4): 319-322 (2013) - [c8]Wangmeng Zuo, Deyu Meng, Lei Zhang, Xiangchu Feng, David Zhang:
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding. ICCV 2013: 217-224 - [c7]Wufeng Xue, Xuanqin Mou, Lei Zhang, Xiangchu Feng:
Perceptual Fidelity Aware Mean Squared Error. ICCV 2013: 705-712 - [c6]Leigang Huo, Xiangchu Feng, Chunhong Pan, Shiming Xiang, Chunlei Huo:
Learning smooth dictionary for image denoising. ICNC 2013: 1388-1392 - 2012
- [j12]Yu Han, Weiwei Wang, Xiang-Chu Feng:
A new fast multiphase image segmentation algorithm based on nonconvex regularizer. Pattern Recognit. 45(1): 363-372 (2012) - [j11]Yafeng Li, Xiangchu Feng:
Image decomposition via learning the morphological diversity. Pattern Recognit. Lett. 33(2): 111-120 (2012) - [j10]Yan Hao, Xiang-Chu Feng, Jianlou Xu:
Multiplicative noise removal via sparse and redundant representations over learned dictionaries and total variation. Signal Process. 92(6): 1536-1549 (2012) - [i1]Lei Zhang, Meng Yang, Xiangchu Feng, Yi Ma, David Zhang:
Collaborative Representation based Classification for Face Recognition. CoRR abs/1204.2358 (2012) - 2011
- [c5]Lei Zhang, Meng Yang, Xiangchu Feng:
Sparse representation or collaborative representation: Which helps face recognition? ICCV 2011: 471-478 - [c4]