| Dictionary learning algorithms for sparse representation K Kreutz-Delgado, JF Murray, BD Rao, K Engan, TW Lee, TJ Sejnowski Neural computation 15 (2), 349-396, 2003 | 1062 | 2003 |
| Convolutional networks can learn to generate affinity graphs for image segmentation SC Turaga, JF Murray, V Jain, F Roth, M Helmstaedter, K Briggman, ... Neural computation 22 (2), 511-538, 2010 | 495 | 2010 |
| Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. JF Murray, GF Hughes, K Kreutz-Delgado, D Schuurmans Journal of Machine Learning Research 6 (5), 2005 | 414 | 2005 |
| Improved disk-drive failure warnings GF Hughes, JF Murray, K Kreutz-Delgado, C Elkan IEEE transactions on reliability 51 (3), 350-357, 2002 | 294 | 2002 |
| Supervised learning of image restoration with convolutional networks V Jain, JF Murray, F Roth, S Turaga, V Zhigulin, KL Briggman, ... 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 283 | 2007 |
| Trends in United States tidal datum statistics and tide range RE Flick, JF Murray, LC Ewing Journal of Waterway, Port, Coastal, and Ocean Engineering 129 (4), 155-164, 2003 | 183 | 2003 |
| Hard drive failure prediction using non-parametric statistical methods JF Murray, GF Hughes, K Kreutz-Delgado Proceedings of icann/iconip, 2003 | 143 | 2003 |
| An improved FOCUSS-based learning algorithm for solving sparse linear inverse problems JF Murray, K Kreutz-Delgado Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems …, 2001 | 99 | 2001 |
| Method and apparatus for image processing HS Seung, JF Murray, V Jain, SC Turaga, M Helmstaedter, W Denk US Patent 9,799,098, 2017 | 90 | 2017 |
| Learning sparse overcomplete codes for images JF Murray, K Kreutz-Delgado Journal of VLSI signal processing systems for signal, image and video …, 2006 | 53 | 2006 |
| Visual recognition and inference using dynamic overcomplete sparse learning JF Murray, K Kreutz-Delgado Neural Computation 19 (9), 2301-2352, 2007 | 47 | 2007 |
| Cloud process for rapid data investigation and data integrity analysis SM Zoldi, JF Murray, JD Carlson US Patent 9,774,681, 2017 | 45 | 2017 |
| Advanced learning system for detection and prevention of money laundering SM Zoldi, JF Murray US Patent 11,423,414, 2022 | 44 | 2022 |
| Reliability and security of RAID storage systems and D2D archives using SATA disk drives GF Hughes, JF Murray ACM Transactions on Storage (TOS) 1 (1), 95-107, 2005 | 43 | 2005 |
| Sparse image coding using learned overcomplete dictionaries JF Murray, K Kreutz-Delgado Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine …, 2004 | 33 | 2004 |
| Behavioral misalignment detection within entity hard segmentation utilizing archetype-clustering SM Zoldi, JF Murray US Patent 10,896,381, 2021 | 22 | 2021 |
| Visual recognition, inference and coding using learned sparse overcomplete representations JF Murray University of California, San Diego, 2005 | 22 | 2005 |
| Learning sparse overcomplete codes for images JF Murray, K Kreutz-Delgado The Journal of VLSI Signal Processing Systems for Signal, Image, and Video …, 2007 | 19 | 2007 |
| Trends in US tidal datum statistics and tide range: A data report atlas RE Flick, JF Murray, LC Ewing Center for Coastal Studies, Scripps Institution of Oceanography, 1999 | 14 | 1999 |
| Cloud process for rapid data investigation and data integrity analysis SM Zoldi, JF Murray, JD Carlson US Patent 10,367,888, 2019 | 11 | 2019 |
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.在 princeton.edu 的电子邮件经过验证
