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Displaying 251 - 264 of 264

Deep Learning-Based Intrusion Detection With Adversaries

July 9, 2018
Author(s)
Zheng Wang
Deep neural networks have demonstrated their effectiveness in most machine learning tasks, with intrusion detection included. Unfortunately, recent research found that deep neural networks are vulnerable to adversarial examples in the image classification

Superconducting optoelectronic networks III: synaptic plasticity

July 5, 2018
Author(s)
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Christine A. Donnelly, Manuel C. Castellanos Beltran, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam
As a means of dynamically reconfiguring the synaptic weight of a superconducting optoelectronic loop neuron, a superconducting flux storage loop is inductively coupled to the synaptic current bias of the neuron. A standard flux memory cell is used to

Machine learning modeling of superconducting critical temperature

June 28, 2018
Author(s)
Aaron Gilad Kusne, Valentin Stanev, Ichiro Takeuchi
Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical

Superconducting optoelectronic networks V: networks and scaling

May 17, 2018
Author(s)
Jeffrey M. Shainline, Jeffrey T. Chiles, Sonia M. Buckley, Adam N. McCaughan, Richard P. Mirin, Sae Woo Nam
Networks of superconducting optoelectronic neurons are investigated for their near-term technological potential and long-term physical limitations. Networks with short average path length, high clustering coefficient, and power-law degree distribution are

Superconducting optoelectronic networks IV: transmitter circuits

May 9, 2018
Author(s)
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Richard P. Mirin, Sae Woo Nam, Amir Jafari-Salim
A superconducting optoelectronic neuron will produce a small current pulse upon reaching threshold. We present an amplifier chain which converts this small current pulse to a voltage pulse sufficient to produce light from a semiconductor diode. This light

Superconducting optoelectronic networks I: general principles

April 6, 2018
Author(s)
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Jeffrey T. Chiles, Richard P. Mirin, Sae Woo Nam
The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads to the principal assumption of the hardware platform: signals between neurons

Superconducting optoelectronic networks II: receiver circuits

April 6, 2018
Author(s)
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Manuel C. Castellanos Beltran, Christine A. Donnelly, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam
Circuits using superconducting single-photon detectors and Josephson junctions to perform signal reception, synaptic weighting, and integration are investigated. The circuits convert photon-detection events into flux quanta, the number of which is

Latent Fingerprint Value Prediction: Crowd-based Learning

December 31, 2017
Author(s)
Elham Tabassi, Anil K. Jain, Tarang Chugh, Kai Cao, Jiayu Zhou
Latent fingerprints are one of the most crucial sources of evidence in forensic investigations. As such, devel- opment of automatic latent fingerprint recognition systems to quickly and accurately identify the suspects is one of the most pressing problems

The Text Recognition Algorithm Independent Evaluation (TRAIT)

December 15, 2017
Author(s)
Afzal A. Godil, Patrick J. Grother, Mei L. Ngan
The report describes and presents the results for text detection and recognition (TRAIT) evaluation in support of forensic investigations of digital media. These im- ages are of interest to NIST’s partner law enforcement agencies that seek to employ text

Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline

November 27, 2017
Author(s)
Roselyne B. Tchoua, Kyle Chard, Debra Audus, Logan T. Ward, Lequieu Joshua, Juan J. de Pablo, Ian Foster
The emerging field of materials informatics has the potential to greatly reduce time-to-market and development costs for new materials. The success of such efforts hinges on access to large, high-quality databases of material properties. However, many such

The 2016 NIST Speaker Recognition Evaluation

August 20, 2017
Author(s)
Seyed Omid Sadjadi, Timothee N. Kheyrkhah, Audrey N. Tong, Craig S. Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
In 2016, NIST conducted the most recent in an ongoing series of speaker recognition evaluations (SRE) to foster research in robust text-independent speaker recognition, as well as measure performance of the current state-of-the-art systems, targeting in
Displaying 251 - 264 of 264
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