| The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review M Hernández-Cabronero, AB Kiely, M Klimesh, I Blanes, J Ligo, E Magli, ... IEEE Geoscience and Remote Sensing Magazine 9 (4), 102-119, 2021 | 40 | 2021 |
| MetaCRAM: an integrated pipeline for metagenomic taxonomy identification and compression M Kim, X Zhang, JG Ligo, F Farnoud, VV Veeravalli, O Milenkovic BMC bioinformatics 17, 1-13, 2016 | 19 | 2016 |
| The new CCSDS standard for low-complexity lossless and near-lossless multispectral and hyperspectral image compression AB Kiely, M Klimesh, I Blanes, J Ligo, E Magli, N Aranki, M Burl, ... International Workshop on On-Board Payload Data Compression, 2018 | 18 | 2018 |
| A Controlled Sensing Approach to Graph Classification JG Ligo, GK Atia, VV Veeravalli IEEE Transactions on Signal Processing 62 (24), 6468-6480, 2014 | 18 | 2014 |
| Rate analysis for detection of sparse mixtures JG Ligo, GV Moustakides, VV Veeravalli 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 7 | 2016 |
| MetaPar: Metagenomic Sequence Assembly via Iterative Reclassification M Kim, JG Ligo, A Emad, F Farnoud, O Milenkovic, VV Veeravalli Global Conference on Signal and Information Processing (GlobalSIP), 2013 …, 2013 | 4 | 2013 |
| MCUIUC—A new framework for metagenomic read compression JG Ligo, M Kim, A Emad, O Milenkovic, VV Veeravalli 2013 IEEE Information Theory Workshop (ITW), 1-5, 2013 | 3 | 2013 |
| Sparse Gaussian mixture detection: Low complexity, high performance tests via quantization JG Ligo, GV Moustakides, VV Veeravalli 2017 IEEE International Symposium on Information Theory (ISIT), 1277-1281, 2017 | 2 | 2017 |
| Detection of Sparse Mixtures: The Finite Alphabet Case JG Ligo, GV Moustakides, VV Veeravalli Asilomar Conference on Signals, Systems, and Computers 50, 5, 2016 | 2 | 2016 |
| Detecting sparse mixtures: Rate of decay of error probability JG Ligo, GV Moustakides, VV Veeravalli arXiv preprint arXiv:1509.07566, 2015 | 2 | 2015 |
| Appendix F Diver Detection in Real Time: Using Embedded Convolutional Neural Network-based Algorithms on Forward Looking Sonar Data BP McNelly, F Mohammad, C Albert, JG Ligo ADVANCES IN AUTONOMOUS UNDERWATER VEHICLE TECHNOLOGIES FOR ENHANCED HARBOR …, 2023 | | 2023 |
| Detection of sparse mixtures: fundamental limits and algorithms JG Ligo University of Illinois at Urbana-Champaign, 2017 | | 2017 |
Venugopal V. VeeravalliHenry Magnuski Professor, ECE, University of Illinois at Urbana-Champaign確認したメール アドレス: illinois.edu