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ORCIDJohn Wright 0001
John N. Wright
Person information
- affiliation: Columbia University, Department of Electrical Engineering / Department of Applied Physics and Applied Mathematics, NY, USA
- affiliation (2009 - 2011): Microsoft Research Asia, Visual Computing Group, Beijing, China
- affiliation (PhD 2009): University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- John Wright — disambiguation page
- John Wright 0002
![[0000-0001-9572-7293]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9572-7293")
— Bradford Institute for Health Research, UK - John Wright 0003 — University of Washington, Department of Physics, Seattle, WA, USA
- John Wright 0004 — Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA (and 1 more)
- John Wright 0005 — ALSTOM Grid UK Limited, Stafford, UK
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Books and Theses
- 2009
[b1]John N. Wright:
Error Correction for High-Dimensional Data via Convex Programming. University of Illinois Urbana-Champaign, USA, 2009
Journal Articles
- 2022
- [j34]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. 23: 114:1-114:103 (2022) - 2021
- [j33]Guoxiang Han, Tanbir Haque, Matthew Bajor, John Wright, Peter R. Kinget:
A Multi-Branch Receiver With Modulated Mixer Clocks for Concurrent Dual-Carrier Reception and Rapid Compressive-Sampling Spectrum Scanning. IEEE J. Solid State Circuits 56(1): 235-253 (2021) - [j32]Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 999-1008 (2021) - 2020
- [j31]Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma:
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. 21: 165:1-165:68 (2020) - [j30]Han-Wen Kuo, Yuqian Zhang, Yenson Lau, John Wright:
Geometry and Symmetry in Short-and-Sparse Deconvolution. SIAM J. Math. Data Sci. 2(1): 216-245 (2020) - [j29]Yuqian Zhang, Han-Wen Kuo, John Wright:
Structured Local Optima in Sparse Blind Deconvolution. IEEE Trans. Inf. Theory 66(1): 419-452 (2020) - [j28]Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright:
Convolutional Phase Retrieval via Gradient Descent. IEEE Trans. Inf. Theory 66(3): 1785-1821 (2020) - 2019
- [j27]Joel M. Esposito, John N. Wright:
Matrix completion as a post-processing technique for probabilistic roadmaps. Int. J. Robotics Res. 38(2-3) (2019) - [j26]Matthew Bajor, Tanbir Haque, Guoxiang Han, Ciyuan Zhang, John Wright, Peter R. Kinget:
A Flexible Phased-Array Architecture for Reception and Rapid Direction-of-Arrival Finding Utilizing Pseudo-Random Antenna Weight Modulation and Compressive Sampling. IEEE J. Solid State Circuits 54(5): 1315-1328 (2019) - [j25]Rabia Tugce Yazicigil, Tanbir Haque, Peter R. Kinget, John Wright:
Taking Compressive Sensing to the Hardware Level: Breaking Fundamental Radio-Frequency Hardware Performance Tradeoffs. IEEE Signal Process. Mag. 36(2): 81-100 (2019) - 2018
- [j24]Ju Sun, Qing Qu, John Wright:
A Geometric Analysis of Phase Retrieval. Found. Comput. Math. 18(5): 1131-1198 (2018) - [j23]Tanbir Haque, Matthew Bajor, Yudong Zhang, Jianxun Zhu, Zarion A. Jacobs, Blayne Kettlewell, John Wright, Peter R. Kinget:
A Reconfigurable Architecture Using a Flexible LO Modulator to Unify High-Sensitivity Signal Reception and Compressed-Sampling Wideband Signal Detection. IEEE J. Solid State Circuits 53(6): 1577-1591 (2018) - [j22]Rabia Tugce Yazicigil, Tanbir Haque, Manoj Kumar, Jeffery Yuan, John Wright, Peter R. Kinget:
How to Make Analog-to-Information Converters Work in Dynamic Spectrum Environments With Changing Sparsity Conditions. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(6): 1775-1784 (2018) - 2017
- [j21]Donald Goldfarb, Cun Mu, John Wright, Chaoxu Zhou:
Using negative curvature in solving nonlinear programs. Comput. Optim. Appl. 68(3): 479-502 (2017) - [j20]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Trans. Inf. Theory 63(2): 853-884 (2017) - [j19]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. IEEE Trans. Inf. Theory 63(2): 885-914 (2017) - 2016
- [j18]Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright:
Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. 10(4): 605-607 (2016) - [j17]Cun Mu, Yuqian Zhang, John Wright, Donald Goldfarb:
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods. SIAM J. Sci. Comput. 38(5) (2016) - [j16]Qing Qu, Ju Sun, John Wright:
Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. IEEE Trans. Inf. Theory 62(10): 5855-5880 (2016) - 2015
- [j15]Rabia Tugce Yazicigil, Tanbir Haque, Michael R. Whalen, Jeffrey Yuan, John Wright, Peter R. Kinget:
Wideband Rapid Interferer Detector Exploiting Compressed Sampling With a Quadrature Analog-to-Information Converter. IEEE J. Solid State Circuits 50(12): 3047-3064 (2015) - [j14]Tanbir Haque, Rabia Tugce Yazicigil, Kyle Jung-Lin Pan, John Wright, Peter R. Kinget:
Theory and Design of a Quadrature Analog-to-Information Converter for Energy-Efficient Wideband Spectrum Sensing. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(2): 527-535 (2015) - 2014
- [j13]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition. SIAM J. Imaging Sci. 7(4): 2105-2138 (2014) - 2013
- [j12]Jinhui Tang, Shuicheng Yan, John Wright, Qi Tian, Yanwei Pang, Edwige E. Pissaloux:
Sparse representations for image and video analysis. J. Vis. Commun. Image Represent. 24(2): 93-94 (2013) - 2012
- [j11]Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma:
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 372-386 (2012) - [j10]YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma:
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2233-2246 (2012) - 2011
- [j9]Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright:
Robust principal component analysis? J. ACM 58(3): 11:1-11:37 (2011) - 2010
- [j8]John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan:
Sparse Representation for Computer Vision and Pattern Recognition. Proc. IEEE 98(6): 1031-1044 (2010) - [j7]Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma:
Image Super-Resolution Via Sparse Representation. IEEE Trans. Image Process. 19(11): 2861-2873 (2010) - [j6]John Wright, Yi Ma:
Dense error correction via l1-minimization. IEEE Trans. Inf. Theory 56(7): 3540-3560 (2010) - 2009
- [j5]John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma:
Robust Face Recognition via Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 210-227 (2009) - [j4]John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum:
Classification via Minimum Incremental Coding Length. SIAM J. Imaging Sci. 2(2): 367-395 (2009) - 2008
- [j3]Allen Y. Yang, John Wright, Yi Ma, S. Shankar Sastry:
Unsupervised segmentation of natural images via lossy data compression. Comput. Vis. Image Underst. 110(2): 212-225 (2008) - 2007
- [j2]Yi Ma, Harm Derksen, Wei Hong, John Wright:
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1546-1562 (2007) - 2006
- [j1]Wei Hong, John Wright, Kun Huang, Yi Ma:
Multiscale Hybrid Linear Models for Lossy Image Representation. IEEE Trans. Image Process. 15(12): 3655-3671 (2006)
Conference and Workshop Papers
- 2021
- [c49]Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks and the Multiple Manifold Problem. ICLR 2021 - [c48]Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks Provably Classify Data on Curves. NeurIPS 2021: 28940-28953 - [c47]Junhui Zhang, Jingkai Yan, John Wright:
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery. NeurIPS 2021: 29464-29475 - 2020
- [c46]Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright:
Short and Sparse Deconvolution - A Geometric Approach. ICLR 2020 - 2019
- [c45]Dar Gilboa, Sam Buchanan, John Wright:
Efficient Dictionary Learning with Gradient Descent. ICML 2019: 2252-2259 - [c44]Han-Wen Kuo, Yenson Lau, Yuqian Zhang, John Wright:
Geometry and Symmetry in Short-and-Sparse Deconvolution. ICML 2019: 3570-3580 - 2018
- [c43]Sam Buchanan, Tanbir Haque, Peter R. Kinget, John Wright:
Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters. ICASSP 2018: 3574-3578 - [c42]Yuqian Zhang, Han-Wen Kuo, John Wright:
Structured Local Minima in Sparse Blind Deconvolution. NeurIPS 2018: 2328-2337 - 2017
- [c41]Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. CVPR 2017: 4381-4389 - [c40]Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright:
Convolutional Phase Retrieval. NIPS 2017: 6086-6096 - [c39]Matthew Bajor, Tanbir Haque, John Wright, Peter R. Kinget:
Theory and Design of a Direct Space-to-Information Converter for Rapid Detection of Interferer DoA. VTC Fall 2017: 1-5 - 2016
- [c38]Rabia Tugce Yazicigil, Tanbir Haque, John Wright, Peter R. Kinget:
Band-pass compressive sampling as an enabling technology for rapid wideband RF spectrum sensing. ACSSC 2016: 1032-1036 - [c37]Ju Sun, Qing Qu, John Wright:
A geometric analysis of phase retrieval. ISIT 2016: 2379-2383 - [c36]Joel M. Esposito, John N. Wright:
Matrix Completion as a Post-Processing Technique for Probabilistic Roadmaps. WAFR 2016: 720-735 - 2015
- [c35]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery Using Nonconvex Optimization. ICML 2015: 2351-2360 - [c34]Rabia Tugce Yazicigil, Tanbir Haque, Michael R. Whalen, Jeffrey Yuan, John Wright, Peter R. Kinget:
19.4 A 2.7-to-3.7GHz rapid interférer detector exploiting compressed sampling with a quadrature analog-to-information converter. ISSCC 2015: 1-3 - 2014
- [c33]Cun Mu, Bo Huang, John Wright, Donald Goldfarb:
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery. ICML 2014: 73-81 - [c32]Quan Geng, John Wright:
On the local correctness of ℓ1-minimization for dictionary learning. ISIT 2014: 3180-3184 - [c31]Qing Qu, Ju Sun, John Wright:
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. NIPS 2014: 3401-3409 - 2013
- [c30]Yuqian Zhang, Cun Mu, Han-Wen Kuo, John Wright:
Toward Guaranteed Illumination Models for Non-convex Objects. ICCV 2013: 937-944 - [c29]Xu Wang, Stefan Atev, John Wright, Gilad Lerman:
Fast Subspace Search via Grassmannian Based Hashing. ICCV 2013: 2776-2783 - [c28]Huan Wang, Daniel A. Spielman, John Wright:
Exact Recovery of Sparse-Used Dictionaries. IJCAI 2013: 3087-3090 - 2012
- [c27]Yadong Mu, John Wright, Shih-Fu Chang:
Accelerated Large Scale Optimization by Concomitant Hashing. ECCV (1) 2012: 414-427 - [c26]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. ECCV (4) 2012: 416-429 - [c25]John Wright, Arvind Ganesh, Kerui Min, Yi Ma:
Compressive principal component pursuit. ISIT 2012: 1276-1280 - [c24]Arvind Ganesh, Kerui Min, John Wright, Yi Ma:
Principal Component Pursuit with reduced linear measurements. ISIT 2012: 1281-1285 - [c23]Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, Shih-Fu Chang:
Learning with Partially Absorbing Random Walks. NIPS 2012: 3086-3094 - [c22]Daniel A. Spielman, Huan Wang, John Wright:
Exact Recovery of Sparsely-Used Dictionaries. COLT 2012: 37.1-37.18 - 2011
- [c21]Rei Kawakami, Yasuyuki Matsushita, John Wright, Moshe Ben-Ezra, Yu-Wing Tai, Katsushi Ikeuchi:
High-resolution hyperspectral imaging via matrix factorization. CVPR 2011: 2329-2336 - 2010
- [c20]Kerui Min, Zhengdong Zhang, John Wright, Yi Ma:
Decomposing background topics from keywords by principal component pursuit. CIKM 2010: 269-278 - [c19]YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma:
RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images. CVPR 2010: 763-770 - [c18]Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, Yi Ma:
Compact projection: Simple and efficient near neighbor search with practical memory requirements. CVPR 2010: 3477-3484 - [c17]Zhi Li, Feng Wu, John Wright:
On the Systematic Measurement Matrix for Compressed Sensing in the Presence of Gross Errors. DCC 2010: 356-365 - [c16]Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma:
Dense error correction for low-rank matrices via Principal Component Pursuit. ISIT 2010: 1513-1517 - [c15]Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma:
Stable Principal Component Pursuit. ISIT 2010: 1518-1522 - 2009
- [c14]Yoav Sharon, John Wright, Yi Ma:
Minimum sum of distances estimator: Robustness and stability. ACC 2009: 524-530 - [c13]Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Yi Ma:
Towards a practical face recognition system: Robust registration and illumination by sparse representation. CVPR 2009: 597-604 - [c12]John Wright, Gang Hua:
Implicit elastic matching with random projections for pose-variant face recognition. CVPR 2009: 1502-1509 - [c11]John Wright, Yi Ma:
Dense error correction via l1-minimization. ICASSP 2009: 3033-3036 - [c10]Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma:
Face recognition with contiguous occlusion using markov random fields. ICCV 2009: 1050-1057 - [c9]John Wright, Arvind Ganesh, Shankar R. Rao, YiGang Peng, Yi Ma:
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization. NIPS 2009: 2080-2088 - 2008
- [c8]Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma:
Image super-resolution as sparse representation of raw image patches. CVPR 2008 - [c7]John Wright, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Yi Ma:
Demo: Robust face recognition via sparse representation. FG 2008: 1-2 - [c6]Zihan Zhou, Arvind Ganesh, John Wright, Shen-Fu Tsai, Yi Ma:
Nearest-Subspace Patch Matching for face recognition under varying pose and illumination. FG 2008: 1-8 - 2007
- [c5]John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum:
Classification via Minimum Incremental Coding Length (MICL). NIPS 2007: 1633-1640 - [c4]Harm Derksen, Yi Ma, Wei Hong, John Wright:
Segmentation of multivariate mixed data via lossy coding and compression. VCIP 2007: 65080H - 2006
- [c3]John Wright, Andrew Wagner, Shankar R. Rao, Yi Ma:
Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction. CVPR (1) 2006: 1250-1257 - 2005
- [c2]Wei Hong, John Wright, Kun Huang, Yi Ma:
A Multi-Scale Hybrid Linear Model for Lossy Image Representation. ICCV 2005: 764-771 - [c1]John Wright, Robert Pless:
Analysis of Persistent Motion Patterns Using the 3D Structure Tensor. WACV/MOTION 2005: 14-19
Parts in Books or Collections
- 2012
- [p1]Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma, John Wright:
Face recognition by sparse representation. Compressed Sensing 2012: 515-539
Reference Works
- 2014
- [r1]John Wright:
Sparse Coding. Computer Vision, A Reference Guide 2014: 744-748
Informal and Other Publications
- 2023
- [i42]Jingkai Yan, Shiyu Wang, Xinyu Rain Wei, Jimmy Wang, Zsuzsanna Márka, Szabolcs Márka, John Wright:
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds. CoRR abs/2310.10039 (2023) - 2022
- [i41]Robert E. Colgan, Jingkai Yan, Zsuzsa Márka, Imre Bartos, Szabolcs Márka, John N. Wright:
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets. CoRR abs/2202.13486 (2022) - [i40]Sam Buchanan, Jingkai Yan, Ellie Haber, John Wright:
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization. CoRR abs/2203.05006 (2022) - [i39]Robert E. Colgan, Zsuzsa Márka, Jingkai Yan, Imre Bartos, John N. Wright, Szabolcs Márka:
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning. CoRR abs/2203.05086 (2022) - [i38]Jingkai Yan, Robert E. Colgan, John Wright, Zsuzsa Márka, Imre Bartos, Szabolcs Márka:
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks. CoRR abs/2207.11583 (2022) - 2021
- [i37]Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doga Veske, Imre Bartos, John N. Wright, Zsuzsa Márka, Szabolcs Márka:
Generalized Approach to Matched Filtering using Neural Networks. CoRR abs/2104.03961 (2021) - [i36]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR abs/2105.10446 (2021) - [i35]Junhui Zhang, Jingkai Yan, John N. Wright:
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery. CoRR abs/2106.09211 (2021) - [i34]Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks Provably Classify Data on Curves. CoRR abs/2107.14324 (2021) - 2020
- [i33]Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal:
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR abs/2001.06970 (2020) - [i32]Yuqian Zhang, Qing Qu, John Wright:
From Symmetry to Geometry: Tractable Nonconvex Problems. CoRR abs/2007.06753 (2020) - [i31]Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks and the Multiple Manifold Problem. CoRR abs/2008.11245 (2020) - [i30]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
Deep Networks from the Principle of Rate Reduction. CoRR abs/2010.14765 (2020) - 2019
- [i29]Han-Wen Kuo, Yenson Lau, Yuqian Zhang, John Wright:
Geometry and Symmetry in Short-and-Sparse Deconvolution. CoRR abs/1901.00256 (2019) - [i28]Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. CoRR abs/1901.01913 (2019) - [i27]Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma:
Complete Dictionary Learning via 𝓁4-Norm Maximization over the Orthogonal Group. CoRR abs/1906.02435 (2019) - [i26]Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright:
Short-and-Sparse Deconvolution - A Geometric Approach. CoRR abs/1908.10959 (2019) - [i25]Han-Wen Kuo, Anna E. Dorfi, Daniel V. Esposito, John N. Wright:
Compressed Sensing Microscopy with Scanning Line Probes. CoRR abs/1909.12342 (2019) - 2018
- [i24]Yuqian Zhang, Han-Wen Kuo, John Wright:
Structured Local Optima in Sparse Blind Deconvolution. CoRR abs/1806.00338 (2018) - [i23]Sky Cheung, John Y. Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy:
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. CoRR abs/1807.10752 (2018) - 2017
- [i22]Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright:
Convolutional Phase Retrieval via Gradient Descent. CoRR abs/1712.00716 (2017) - 2016
- [i21]Ju Sun, Qing Qu, John Wright:
A Geometric Analysis of Phase Retrieval. CoRR abs/1602.06664 (2016) - 2015
- [i20]Huan Wang, John Wright, Daniel A. Spielman:
A Batchwise Monotone Algorithm for Dictionary Learning. CoRR abs/1502.00064 (2015) - [i19]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere. CoRR abs/1504.06785 (2015) - [i18]Ju Sun, Qing Qu, John Wright:
When Are Nonconvex Problems Not Scary? CoRR abs/1510.06096 (2015) - [i17]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. CoRR abs/1511.03607 (2015) - [i16]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. CoRR abs/1511.04777 (2015) - 2014
- [i15]Cun Mu, Yuqian Zhang, John Wright, Donald Goldfarb:
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods. CoRR abs/1403.7588 (2014) - [i14]Qing Qu, Ju Sun, John Wright:
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. CoRR abs/1412.4659 (2014) - 2013
- [i13]Yuqian Zhang, Cun Mu, Han-Wen Kuo, John Wright:
Toward Guaranteed Illumination Models for Non-Convex Objects. CoRR abs/1307.1437 (2013) - [i12]Cun Mu, Bo Huang, John Wright, Donald Goldfarb:
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery. CoRR abs/1307.5870 (2013) - 2012
- [i11]John Wright, Arvind Ganesh, Kerui Min, Yi Ma:
Compressive Principal Component Pursuit. CoRR abs/1202.4596 (2012) - [i10]Arvind Ganesh, Kerui Min, John Wright, Yi Ma:
Principal Component Pursuit with Reduced Linear Measurements. CoRR abs/1202.6445 (2012) - [i9]Daniel A. Spielman, Huan Wang, John Wright:
Exact Recovery of Sparsely-Used Dictionaries. CoRR abs/1206.5882 (2012) - [i8]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. CoRR abs/1208.0432 (2012) - [i7]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1: Theory and Applications in Computer Vision. CoRR abs/1211.0757 (2012) - 2011
- [i6]Quan Geng, Huan Wang, John Wright:
On the Local Correctness of L^1 Minimization for Dictionary Learning. CoRR abs/1101.5672 (2011) - [i5]John Wright, Arvind Ganesh, Allen Y. Yang, Zihan Zhou, Yi Ma:
Sparsity and Robustness in Face Recognition. CoRR abs/1111.1014 (2011) - 2010
- [i4]Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma:
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit. CoRR abs/1001.2362 (2010) - [i3]Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma:
Stable Principal Component Pursuit. CoRR abs/1001.2363 (2010) - 2009
- [i2]Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright:
Robust Principal Component Analysis? CoRR abs/0912.3599 (2009) - 2008
- [i1]John Wright, Yi Ma:
Dense Error Correction via L1-Minimization. CoRR abs/0809.0199 (2008)
Coauthor Index
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last updated on 2024-04-25 02:15 CEST by the dblp team
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