Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Tu-Thach Quach"'
Publikováno v:
IEEE Access, Vol 7, Pp 1685-1693 (2019)
Emerging memory devices, such as resistive crossbars, have the capacity to store large amounts of data in a single array. Acquiring the data stored in large-capacity crossbars in a sequential fashion can become a bottleneck. We present practical meth
Externí odkaz:
https://doaj.org/article/36b979f4aedf4df299e7b569093502e6
Publikováno v:
IEEE Transactions on Signal Processing. 68:6394-6401
We present a general machine learning algorithm for boundary detection within general signals based on an efficient, accurate, and robust approximation of the universal normalized information distance. Our approach uses an adaptive sliding informatio
Publikováno v:
IEEE Access, Vol 7, Pp 1685-1693 (2019)
Emerging memory devices, such as resistive crossbars, have the capacity to store large amounts of data in a single array. Acquiring the data stored in large-capacity crossbars in a sequential fashion can become a bottleneck. We present practical meth
Publikováno v:
IEEE Transactions on Information Forensics and Security. 13:2553-2562
File fragment classification is an important step in the task of file carving in digital forensics. In file carving, files must be reconstructed based on their content as a result of their fragmented storage on disk or in memory. Existing methods for
Autor:
James B. Aimone, Fredrick Rothganger, Nadine E. Miner, Stephen J. Verzi, Tu-Thach Quach, Craig M. Vineyard, Conrad D. James, Ojas Parekh
Publikováno v:
Neural Computation. 30:2660-2690
Neural-inspired spike-based computing machines often claim to achieve considerable advantages in terms of energy and time efficiency by using spikes for computation and communication. However, fundamental questions about spike-based computation remai
Akademický článek
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Autor:
Tu-Thach Quach
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:369-373
We present an approach to segment vehicle tracks in coherent change detection images, a product of combining two synthetic aperture radar images taken at different times. The approach uses multiscale higher order random field models to capture track
Autor:
Emily Donahue, Matthew David Smith, Kevin Potter, Christian Turner, Tu-Thach Quach, Carianne Martinez
Publikováno v:
Applications of Machine Learning.
Recent advances in deep learning have shown promising results for anomaly detection that can be applied to the problem of defect detection in electronic parts. In this work, we train a deep learning model with Generative Adversarial Networks (GANs) t
Autor:
Amber L. Dagel, Daryl J. Dagel, Meghan Galiardi, Tu-Thach Quach, Gabriel C. Birch, Charles F. LaCasse, Bryan Kaehr, Brian J. Redman
Publikováno v:
Optics and Photonics for Information Processing XIII.
We investigate the feasibility of additively manufacturing optical components to accomplish task-specific classification in a computational imaging device. We report on the design, fabrication, and characterization of a non-traditional optical elemen
Autor:
Gabriel C. Birch, Charles F. LaCasse, Brian J. Redman, Tu-Thach Quach, Meghan Galiardi, Amber L. Dagel
Publikováno v:
Computational Imaging IV.