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Tu-Thach Quach
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2020 – today
- 2020
- [j8]Richard V. Field Jr., Tu-Thach Quach, Christina L. Ting:
Efficient Generalized Boundary Detection Using a Sliding Information Distance. IEEE Trans. Signal Process. 68: 6394-6401 (2020)
2010 – 2019
- 2019
- [j7]Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone:
Sparse Data Acquisition on Emerging Memory Architectures. IEEE Access 7: 1685-1693 (2019) - [c12]Brian J. Redman, Daniel Calzada, Jamie Wingo, Tu-Thach Quach, Meghan A. Galiardi, Amber L. Dagel, Charles F. LaCasse, Gabriel C. Birch:
Optimizing a Compressive Imager for Machine Learning Tasks. ACSSC 2019: 1000-1004 - [c11]Christina L. Ting, Richard V. Field Jr., Tu-Thach Quach, Travis L. Bauer:
Generalized Boundary Detection Using Compression-based Analytics. ICASSP 2019: 3522-3526 - 2018
- [j6]Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone:
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30(10) (2018) - [j5]Felix Wang, Tu-Thach Quach, Jason Wheeler, James B. Aimone, Conrad D. James:
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. IEEE Trans. Inf. Forensics Secur. 13(10): 2553-2562 (2018) - [c10]Mark W. Koch, R. Derek West, Robert Riley, Tu-Thach Quach:
Polarimetric Synthetic-Aperture-Radar Change-Type Classification With a Hyperparameter-Free Open-Set Classifier. CVPR Workshops 2018: 1239-1246 - 2017
- [j4]Tu-Thach Quach:
Vehicle Track Segmentation Using Higher Order Random Fields. IEEE Geosci. Remote. Sens. Lett. 14(3): 369-373 (2017) - 2016
- [c9]Tu-Thach Quach, Rebecca Malinas, Mark W. Koch:
Low-Level Track Finding and Completion using Random Fields. Image Processing: Machine Vision Applications 2016: 1-5 - [c8]Tu-Thach Quach:
Separating Steganographic Images by Embedding Key. Media Watermarking, Security, and Forensics 2016: 1-6 - [c7]Tu-Thach Quach, Jeremy D. Wendt:
A Diffusion Model for Maximizing Influence Spread in Large Networks. SocInfo (1) 2016: 110-124 - 2015
- [c6]Rebecca Malinas, Tu-Thach Quach, Mark W. Koch:
Vehicle track detection in CCD imagery via conditional random field. ACSSC 2015: 1571-1575 - [c5]Tu-Thach Quach, Rebecca Malinas, Mark W. Koch:
A model-based approach to finding tracks in SAR CCD images. CVPR Workshops 2015: 41-47 - 2014
- [j3]Tu-Thach Quach:
Extracting hidden messages in steganographic images. Digit. Investig. 11(Supplement 2): S40-S45 (2014) - [c4]Tu-Thach Quach:
Cover estimation and payload location using Markov random fields. Media Watermarking, Security, and Forensics 2014: 90280H - 2012
- [j2]Tu-Thach Quach:
Locating payload embedded by group-parity steganography. Digit. Investig. 9(2): 160-166 (2012) - [c3]Tu-Thach Quach:
Locatability of modified pixels in steganographic images. Media Watermarking, Security, and Forensics 2012: 83030Q - 2011
- [j1]Tu-Thach Quach:
Optimal Cover Estimation Methods and Steganographic Payload Location. IEEE Trans. Inf. Forensics Secur. 6(4): 1214-1222 (2011) - [c2]Tu-Thach Quach:
On locating steganographic payload using residuals. Media Forensics and Security 2011: 78800J
2000 – 2009
- 2009
- [c1]Tu-Thach Quach, Fernando Pérez-González, Gregory L. Heileman:
Model-based steganalysis using invariant features. Media Forensics and Security 2009: 72540B
Coauthor Index
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