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2020 – today
- 2024
[j42]Peihua Li, Xingyu Zheng, Cuiling Fan:
New classes of nearly optimal time-hopping sequence sets for UWB systems. Int. J. Appl. Math. Comput. Sci. 18(6): 1733-1747 (2024)- [j41]Xiaoyu Wu, Xu Jiang
, Bo Li, Nan Zhao, Peihua Li, Yonghui Li, Arumugam Nallanathan:
Rate Maximization of UAV-Assisted Ambient Backscatter Communications. IEEE Wirel. Commun. Lett. 13(3): 706-710 (2024) - 2023
- [j40]Lingyao Jia, Qiule Sun, Peihua Li:
Structure correlation-aware attention for Iris recognition. Neural Comput. Appl. 35(28): 21071-21091 (2023) - [j39]Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15802-15819 (2023) - 2022
- [j38]Lingyao Jia, Xueyu Shi, Qiule Sun, Xingqiang Tang, Peihua Li:
Second-order convolutional networks for iris recognition. Appl. Intell. 52(10): 11273-11287 (2022) - [j37]Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li:
Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing 505: 276-288 (2022) - [j36]Peihua Li, Cuiling Fan, Sihem Mesnager, Yang Yang, Zhengchun Zhou:
Constructions of Optimal Uniform Wide-Gap Frequency-Hopping Sequences. IEEE Trans. Inf. Theory 68(1): 692-700 (2022) - [j35]Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang:
Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3400-3414 (2022) - [c55]Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li:
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR 2022: 7962-7971 - [c54]Peihua Li, Jiong Guo:
Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules. FAW 2022: 235-247 - [c53]Jianqi Zhou, Peihua Li, Jiong Guo:
Parameterized Approximation Algorithms for TSP. ISAAC 2022: 50:1-50:16 - [c52]Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu:
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS 2022 - [i15]Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li:
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR abs/2204.04567 (2022) - 2021
- [j34]Qiule Sun, Zhimin Zhang, Peihua Li:
Second-order encoding networks for semantic segmentation. Neurocomputing 445: 50-60 (2021) - [j33]Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang:
Graph attention mechanism with global contextual information for multi-label image recognition. J. Electronic Imaging 30(6) (2021) - [j32]Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li:
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2582-2597 (2021) - [j31]Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo:
Multi-scale structural kernel representation for object detection. Pattern Recognit. 110: 107593 (2021) - [c51]Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian, Zhaofeng He, Zhenan Sun, Yiwen Zhang, Tianbao Liu, Wei Yang, Dongliang Wu, Yingfeng Liu, Ruiye Zhou, Huihai Wu, Hao Zhang, Junbao Wang, Jiayi Wang, Wantong Xiong, Xueyu Shi, Shao Zeng, Peihua Li, Haodong Sun, Jing Wang, Jiale Zhang, Qi Wang, Huijie Wu, Xinhui Zhang, Haiqing Li, Yu Chen, Liang Chen, Menghan Zhang, Ye Sun, Zhiyong Zhou, Fadi Boutros, Naser Damer, Arjan Kuijper, Juan E. Tapia, Andres Valenzuela, Christoph Busch, Gourav Gupta, Kiran B. Raja, Xi Wu, Xiaojie Li, Jingfu Yang, Hongyan Jing, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Shu Hu, Leon Premk, Matej Vitek, Vitomir Struc, Peter Peer, Jalil Nourmohammadi-Khiarak, Farhang Jaryani, Samaneh Salehi Nasab, Seyed Naeim Moafinejad, Yasin Amini, Morteza Noshad:
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB 2021: 1-10 - [c50]Peihua Li:
Research on the Training Mode of Applied Technical Talents in Private Universities in China Based on Big Data Analysis. ICISCAE (ACM) 2021: 904-907 - [c49]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS 2021: 13587-13598 - [i14]Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li:
So-ViT: Mind Visual Tokens for Vision Transformer. CoRR abs/2104.10935 (2021) - [i13]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR abs/2110.14381 (2021) - 2020
- [j30]Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li:
Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. 100: 107167 (2020) - [j29]Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li, Huchuan Lu:
Blind single image super-resolution with a mixture of deep networks. Pattern Recognit. 102: 107169 (2020) - [j28]Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo:
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. 22(9): 2420-2433 (2020) - [c48]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR 2020: 10768-10777 - [c47]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR 2020: 11531-11539 - [i12]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR abs/2003.11241 (2020)
2010 – 2019
- 2019
- [j27]Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li:
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. IEEE Access 7: 31959-31970 (2019) - [j26]Peihua Li, Cuiling Fan, Yang Yang:
New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets With Low Hit Zone. IEEE Access 7: 167409-167419 (2019) - [j25]Peihua Li, Cuiling Fan, Yang Yang, Yong Wang:
New Bounds on Wide-Gap Frequency-Hopping Sequences. IEEE Commun. Lett. 23(6): 1050-1053 (2019) - [j24]Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li:
Resolution-Aware Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1259-1269 (2019) - [c46]Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-Order Pooling Convolutional Networks. CVPR 2019: 3024-3033 - [c45]Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. CVPR 2019: 5080-5088 - [c44]Peihua Li, Cuiling Fan, Yang Yang:
New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets. IWSDA 2019: 1-5 - [i11]Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li:
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR abs/1904.06836 (2019) - [i10]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR abs/1910.03151 (2019) - 2018
- [j23]Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li:
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access 6: 5531-5537 (2018) - [j22]Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li:
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing 282: 174-183 (2018) - [j21]Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li:
Information-Compensated Downsampling for Image Super-Resolution. IEEE Signal Process. Lett. 25(5): 685-689 (2018) - [j20]Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao:
An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2449-2459 (2018) - [c43]Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao:
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR 2018: 947-955 - [c42]Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR 2018: 1248-1257 - [c41]Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li:
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. NeurIPS 2018: 1284-1293 - [i9]Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-scale Location-aware Kernel Representation for Object Detection. CoRR abs/1804.00428 (2018) - [i8]Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-order Pooling Convolutional Networks. CoRR abs/1811.12006 (2018) - 2017
- [j19]Fasheng Wang, Peihua Li, Xucheng Li, Mingyu Lu:
Ordered over-relaxation based Langevin Monte Carlo sampling for visual tracking. Neurocomputing 220: 111-120 (2017) - [j18]Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo:
Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. 406: 119-132 (2017) - [j17]Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang:
Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 803-817 (2017) - [j16]Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang:
High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. IEEE Trans. Image Process. 26(7): 3372-3384 (2017) - [c40]Xingqiang Tang, Jiangtao Xie, Peihua Li:
Deep Convolutional Features for Iris Recognition. CCBR 2017: 391-400 - [c39]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR 2017: 945-954 - [c38]Qilong Wang, Peihua Li, Lei Zhang:
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR 2017: 6507-6516 - [c37]Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo:
Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV 2017: 2089-2097 - [c36]Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang:
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. ICCV Workshops 2017: 2001-2009 - [c35]Lingxiao Yang, Xiaohua Xie, Peihua Li, David Zhang, Lei Zhang:
Part-based convolutional neural network for visual recognition. ICIP 2017: 1772-1776 - [i7]Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo:
Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR abs/1703.08050 (2017) - [i6]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1705.00609 (2017) - [i5]Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang:
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. CoRR abs/1710.02039 (2017) - [i4]Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao:
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR abs/1712.01034 (2017) - 2016
- [j15]Hua Hao, Qilong Wang, Peihua Li, Lei Zhang:
Evaluation of ground distances and features in EMD-based GMM matching for texture classification. Pattern Recognit. 57: 152-163 (2016) - [j14]Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo:
Towards effective codebookless model for image classification. Pattern Recognit. 59: 63-71 (2016) - [c34]Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang:
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR 2016: 4433-4441 - [i3]Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li:
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. CoRR abs/1607.07680 (2016) - 2015
- [j13]Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang, Junsong Yuan:
Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications. IEEE Trans. Image Process. 24(11): 3729-3741 (2015) - [c33]Peihua Li, Xiaoxiao Lu, Qilong Wang:
From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR 2015: 2348-2357 - [c32]Guanglei Yang, Hui Zeng, Peihua Li, Lei Zhang:
High-order information for robust iris recognition under less controlled conditions. ICIP 2015: 4535-4539 - [c31]Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang:
Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP 2015: 4570-4574 - [i2]Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo:
Towards Effective Codebookless Model for Image Classification. CoRR abs/1507.02385 (2015) - 2014
- [j12]Zhenguo Gao, Weidong Xiang, Guozhen Tan, Nianmin Yao, Peihua Li:
An enhanced XOR-based scheme for wireless packet retransmission problem. Int. J. Commun. Syst. 27(12): 3657-3675 (2014) - [c30]Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li:
Shrinkage Expansion Adaptive Metric Learning. ECCV (7) 2014: 456-471 - [c29]Man Zhang, Jing Liu, Zhenan Sun, Tieniu Tan, Wu Su, Fernando Alonso-Fernandez, Valérian Némesin, Nadia Othman, Koichi Noda, Peihua Li, Edmundo Hoyle, Akanksha Joshi:
The first ICB* competition on iris recognition. IJCB 2014: 1-6 - 2013
- [j11]Peihua Li:
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking. J. Math. Imaging Vis. 46(1): 44-65 (2013) - [c28]Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang:
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV 2013: 1601-1608 - [c27]Peihua Li, Qilong Wang, Lei Zhang:
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV 2013: 1689-1696 - [c26]Peihua Li, Qilong Wang:
Variational Earth Mover's Distance for Image Segmentation. ICIG 2013: 236-242 - 2012
- [j10]Peihua Li, Xiaomin Liu, Nannan Zhao:
Weighted co-occurrence phase histogram for iris recognition. Pattern Recognit. Lett. 33(8): 1000-1005 (2012) - [j9]Peihua Li, Hongwei Ma:
Iris recognition in non-ideal imaging conditions. Pattern Recognit. Lett. 33(8): 1012-1018 (2012) - [j8]Peihua Li:
An Efficient Particle Filter-based Tracking Method Using Graphics Processing Unit (GPU). J. Signal Process. Syst. 68(3): 317-332 (2012) - [c25]Peihua Li, Qilong Wang:
Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) 2012: 205-216 - [c24]Peihua Li, Qilong Wang:
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) 2012: 469-482 - [c23]Xiaomin Liu, Peihua Li:
Tensor decomposition of SIFT descriptors for person identification. ICB 2012: 265-270 - [c22]Peihua Li, Guolong Wu:
Iris recognition using ordinal encoding of Log-Euclidean covariance matrices. ICPR 2012: 2420-2423 - 2011
- [c21]Peihua Li, Qi Sun:
Tensor-based covariance matrices for object tracking. ICCV Workshops 2011: 1681-1688 - [c20]Peihua Li, Qi Sun:
Tracking Objects Using Orientation Covariance Matrices. ICIC (1) 2011: 226-233 - [c19]Xiaomin Liu, Peihua Li:
An Iris Recognition Approach with SIFT Descriptors. ICIC (2) 2011: 427-434 - 2010
- [j7]Peihua Li, Xiaomin Liu, Lijuan Xiao, Qi Song:
Robust and accurate iris segmentation in very noisy iris images. Image Vis. Comput. 28(2): 246-253 (2010) - [i1]Peihua Li:
Tensor-SIFT based Earth Mover's Distance for Contour Tracking. CoRR abs/1011.3174 (2010)
2000 – 2009
- 2009
- [c18]Peihua Li, Lijuan Xiao:
Mean Shift Parallel Tracking on GPU. IbPRIA 2009: 120-127 - [c17]Peihua Li, Lijuan Xiao:
Histogram-Based Partial Differential Equation for Object Tracking. ICAPR 2009: 286-289 - [c16]Xiaomin Liu, Peihua Li, Qi Song:
Eyelid Localization in Iris Images Captured in Less Constrained Environment. ICB 2009: 1140-1149 - [c15]Peihua Li, Xianzhe Ma:
Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm. ICIC (1) 2009: 222-227 - [c14]Xiaomin Liu, Qi Song, Peihua Li:
A Parabolic Detection Algorithm Based on Kernel Density Estimation. ICIC (1) 2009: 405-412 - 2008
- [j6]Haijing Wang, Peihua Li, Tianwen Zhang:
Histogram feature-based Fisher linear discriminant for face detection. Neural Comput. Appl. 17(1): 49-58 (2008) - [j5]Peihua Li:
An Adaptive Binning Color Model for Mean Shift Tracking. IEEE Trans. Circuits Syst. Video Technol. 18(9): 1293-1299 (2008) - [c13]Peihua Li, Xiaomin Liu:
An incremental method for accurate iris segmentation. ICPR 2008: 1-4 - [c12]Lijuan Xiao, Peihua Li:
Improvement on Mean Shift based tracking using second-order information. ICPR 2008: 1-4 - 2007
- [j4]Haijing Wang, Peihua Li, Tianwen Zhang:
Boosted Gaussian Classifier with Integral Histogram for Face Detection. Int. J. Pattern Recognit. Artif. Intell. 21(7): 1127-1139 (2007) - [c11]Peihua Li, Haijing Wang:
Object Tracking with Particle Filter Using Color Information. MIRAGE 2007: 534-541 - 2006
- [j3]Peihua Li:
A clustering-based color model and integral images for fast object tracking. Signal Process. Image Commun. 21(8): 676-687 (2006) - [c10]Haijing Wang, Peihua Li, Tianwen Zhang:
Histogram Features-Based Fisher Linear Discriminant for Face Detection. ACCV (2) 2006: 521-530 - [c9]Peihua Li:
A clustering Based Color Model and Fast Algorithm for Object Tracking. ICPR (1) 2006: 671-674 - 2005
- [c8]Peihua Li, Haijing Wang:
Probabilistic Object Tracking Based on Machine Learning and Importance Sampling. IbPRIA (1) 2005: 161-167 - [c7]Haijing Wang, Peihua Li, Tianwen Zhang:
Proposal of Novel Histogram Features for Face Detection. ICAPR (2) 2005: 334-343 - [c6]Haijing Wang, Peihua Li, Tianwen Zhang:
Novel likelihood estimation technique based on boosting detector. ICIP (3) 2005: 477-480 - [c5]Peihua Li, François Chaumette, Omar Tahri:
A Shape Tracking Algorithm for Visual Servoing. ICRA 2005: 2847-2852 - 2004
- [j2]Peihua Li, Tianwen Zhang, Bo Ma:
Unscented Kalman filter for visual curve tracking. Image Vis. Comput. 22(2): 157-164 (2004) - [c4]Peihua Li, François Chaumette:
Image Cues Fusion for Object Tracking Based on Particle Filter. AMDO 2004: 99-107 - [c3]Peihua Li, Kai Xie:
Towards A Robust and Real-time Face Detection and Tracking Framework. ICVGIP 2004: 663-668 - [c2]Peihua Li, Haijing Wang:
Probabilistic Face Tracking Using Boosted Multi-view Detector. PCM (2) 2004: 577-584 - 2003
- [j1]Peihua Li, Tianwen Zhang, Arthur E. C. Pece:
Visual contour tracking based on particle filters. Image Vis. Comput. 21(1): 111-123 (2003) - 2002
- [c1]Peihua Li, Tianwen Zhang:
Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm. ICPR (2) 2002: 564-568
Coauthor Index
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