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2020 – today
- 2024
[c42]Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui:
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CVPR 2024: 14033-14042- [i40]Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui:
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CoRR abs/2404.19752 (2024) - [i39]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i38]Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanely Chan, Enming Luo:
Why Fine-grained Labels in Pretraining Benefit Generalization? CoRR abs/2410.23129 (2024) - [i37]Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang:
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR abs/2411.07126 (2024) - [i36]Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang:
Edify 3D: Scalable High-Quality 3D Asset Generation. CoRR abs/2411.07135 (2024) - 2023
- [j7]Jiaxing Liu, Yongchao Zhu, Yin Cui:
Intelligent design of display space layout based on two-stage deep learning network. J. Comput. Methods Sci. Eng. 23(6): 3347-3362 (2023) - [j6]Yanjiang Li, Chong Tan, Jingxian Wu, Guo-Ping Liu
, Yin Cui:
Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems. J. Syst. Sci. Complex. 36(5): 1851-1877 (2023) - [c41]Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang:
Train-Once-for-All Personalization. CVPR 2023: 11818-11827 - [c40]Shijun Ge, Yuanbo Sun, Yin Cui, Hao Shen:
Human Factors Based New Media Design: Methodology and Assessment. HCI (32) 2023: 34-44 - [c39]Luming Wang, Yin Cui, Xibin Gong, Fei Liu:
Research on the Influence of Artificial Intelligence Interactive Function on Youth Sports Training - Taking Tiantian Skipping Rope App as an Example. HCI (54) 2023: 332-345 - [c38]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. ICCV 2023: 6939-6950 - [c37]Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova:
Open-Vocabulary Object Detection upon Frozen Vision and Language Models. ICLR 2023 - [c36]James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan:
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. ICML 2023: 547-568 - [c35]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. NeurIPS 2023 - [c34]Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam:
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. NeurIPS 2023 - [c33]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS 2023 - [c32]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan:
MovieCLIP: Visual Scene Recognition in Movies. WACV 2023: 2082-2091 - [i35]James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Jeremiah Zhe Liu, Xiuye Gu, Yin Cui, Dustin Tran, Balaji Lakshminarayanan:
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. CoRR abs/2302.06235 (2023) - [i34]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. CoRR abs/2303.08998 (2023) - [i33]Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo:
Towards Understanding the Effect of Pretraining Label Granularity. CoRR abs/2303.16887 (2023) - [i32]Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam:
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. CoRR abs/2305.06324 (2023) - [i31]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR abs/2306.01736 (2023) - [i30]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i29]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. CoRR abs/2310.04550 (2023) - 2022
- [j5]Hongge Ren, Yin Cui, Tao Shi:
Research on Anomaly Suppression Correlation Filtering Algorithm. IEEE Access 10: 2457-2468 (2022) - [j4]Chong Tan, Yin Cui, Yanjiang Li:
Global Consensus of High-Order Discrete-Time Multi-Agent Systems with Communication Delay and Saturation Constraint. Sensors 22(3): 1007 (2022) - [c31]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC 2022: 541 - [c30]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CVPR 2022: 13957-13966 - [c29]Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie:
SITTA: Single Image Texture Translation for Data Augmentation. ECCV Workshops (2) 2022: 3-20 - [c28]Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. ECCV (36) 2022: 540-557 - [c27]Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui:
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. ICLR 2022 - [c26]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR 2022 - [c25]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [i28]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - [i27]Rui Qian, Yeqing Li, Zheng Xu, Ming-Hsuan Yang, Serge J. Belongie, Yin Cui:
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models. CoRR abs/2207.07646 (2022) - [i26]Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova:
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. CoRR abs/2209.15639 (2022) - [i25]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan:
MovieCLIP: Visual Scene Recognition in Movies. CoRR abs/2210.11065 (2022) - 2021
- [j3]Yin Cui, Hongge Ren:
Research on Visual Tracking Algorithm Based on Peak Sidelobe Ratio. IEEE Access 9: 105318-105326 (2021) - [c24]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR 2021: 2918-2928 - [c23]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CVPR 2021: 6964-6974 - [c22]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. NeurIPS 2021: 24206-24221 - [i24]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. CoRR abs/2104.11178 (2021) - [i23]Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui:
Zero-Shot Detection via Vision and Language Knowledge Distillation. CoRR abs/2104.13921 (2021) - [i22]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - [i21]Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie:
Single Image Texture Translation for Data Augmentation. CoRR abs/2106.13804 (2021) - [i20]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - [i19]Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello:
Revisiting 3D ResNets for Video Recognition. CoRR abs/2109.01696 (2021) - [i18]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i17]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i16]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - [i15]Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Open-Vocabulary Image Segmentation. CoRR abs/2112.12143 (2021) - 2020
- [j2]Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93: 103853 (2020) - [c21]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR 2020: 11589-11598 - [c20]Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie:
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. ECCV (1) 2020: 316-332 - [c19]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) 2020: 572-586 - [c18]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le:
Rethinking Pre-training and Self-training. NeurIPS 2020 - [i14]Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie:
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. CoRR abs/2004.12276 (2020) - [i13]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le:
Rethinking Pre-training and Self-training. CoRR abs/2006.06882 (2020) - [i12]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CoRR abs/2008.03800 (2020) - [i11]Yi Zhou, Yin Cui, Xiaoke Xu, Jidong Suo, Xiaoming Liu:
Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra. CoRR abs/2009.04185 (2020) - [i10]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR abs/2010.11426 (2020) - [i9]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR abs/2012.07177 (2020)
2010 – 2019
- 2019
- [b1]Yin Cui:
Learning from Fine-Grained and Long-Tailed Visual Data. Cornell University, USA, 2019 - [c17]Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. CVPR Workshops 2019: 21-25 - [c16]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019: 9268-9277 - [c15]Haijun Gu, Shucun Zhu, Yin Cui, Xin Miao, Haoyu Liu, Meiqi Liu:
Application of Agent in Security Platform. ICCC Workshops 2019: 233-238 - [c14]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. ICCV Workshops 2019: 3113-3116 - [i8]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CoRR abs/1901.05555 (2019) - [i7]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Matthew R. Scott, Hartwig Adam, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. CoRR abs/1906.05750 (2019) - [i6]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR abs/1912.05027 (2019) - [i5]Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim:
Measuring Dataset Granularity. CoRR abs/1912.10154 (2019) - 2018
- [c13]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018: 4109-4118 - [c12]Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie:
Learning to Evaluate Image Captioning. CVPR 2018: 5804-5812 - [c11]Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The INaturalist Species Classification and Detection Dataset. CVPR 2018: 8769-8778 - [c10]Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. ECCV (15) 2018: 90-105 - [c9]Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin:
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. RecSys 2018: 279-287 - [i4]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CoRR abs/1806.06193 (2018) - [i3]Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie:
Learning to Evaluate Image Captioning. CoRR abs/1806.06422 (2018) - 2017
- [c8]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058 - [c7]Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin:
Collaborative Metric Learning. WWW 2017: 193-201 - 2016
- [c6]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie:
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. CVPR 2016: 1153-1162 - 2015
- [c5]Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge J. Belongie, Deborah Estrin:
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. CIKM 2015: 183-192 - [c4]Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays:
Learning deep representations for ground-to-aerial geolocalization. CVPR 2015: 5007-5015 - [i2]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie:
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. CoRR abs/1512.05227 (2015) - 2014
- [c3]Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, Shih-Fu Chang:
Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images. ICMR 2014: 1 - [c2]Tao Chen, Felix X. Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang:
Object-Based Visual Sentiment Concept Analysis and Application. ACM Multimedia 2014: 367-376 - [c1]Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao:
A spatial-color layout feature for representing galaxy images. WACV 2014: 213-219 - [i1]Yin Cui, Dong Liu, Jiawei Chen, Shih-Fu Chang:
Building A Large Concept Bank for Representing Events in Video. CoRR abs/1403.7591 (2014)
2000 – 2009
- 2009
- [j1]Yin Cui, Yuejiao Fu, Abdulkadir Hussein:
Group sequential testing of homogeneity in genetic linkage analysis. Comput. Stat. Data Anal. 53(10): 3630-3639 (2009)
Coauthor Index
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