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Mathematics & Statistics

Image & signal processing

Search Publications

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  • Published Date
Displaying 76 - 100 of 311

The 2019 NIST Speaker Recognition Evaluation CTS Challenge

May 18, 2020
Author(s)
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted a leaderboard style speaker recognition challenge using conversational telephone speech (CTS) data extracted from the unexposed portion of the Call My Net 2 (CMN2) corpus

Auto-tuning of double dot devices it in situ with machine learning

March 31, 2020
Author(s)
Justyna Zwolak, Thomas McJunkin, Sandesh Kalantre, J. P. Dodson, Evan MacQuarrie, D. E. Savage, M. G. Lagally, S N. Coppersmith, Mark A. Eriksson, Jacob Taylor
The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time- consuming procedure that is inherently impractical for scaling up and applications. In this work, we report on the \it in situ} implementation of a

Field Compressed Sensing

January 17, 2020
Author(s)
Anthony B. Kos, Fabio C. Da Silva, Jason B. Coder, Craig W. Nelson, Grace E. Antonucci, Archita Hati
Imaging solutions based on wave scattering seek real-time performance, high dynamic range, and spatial accuracy at scales spanning from nanometers to thousands of kilometers. Compressed sensing algorithms use sparsity to reduce sample size during image

A Robust Principal Component Analysis for Outlier Identification in Messy Microcalorimeter Data

November 12, 2019
Author(s)
Joseph W. Fowler, Bradley K. Alpert, Young I. Joe, Galen C. O'Neil, Daniel S. Swetz, Joel N. Ullom
A principal component analysis (PCA) of clean microcalorimeter pulse records can be a first step beyond statistically optimal linear filtering of pulses toward a fully nonlinear analysis. For PCA to be practical on spectrometers with hundreds of sensors

The 2018 NIST Speaker Recognition Evaluation

September 15, 2019
Author(s)
Omid Sadjadi, Craig Greenberg, Elliot Singer, Douglas A. Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2018, the U.S. national institute of standards and technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE). SRE18 was organized in a similar manner to SRE16, focusing on speaker detection over

Data-driven approaches to optical patterned defect detection

September 5, 2019
Author(s)
Mark-Alexander Henn, Hui Zhou, Bryan M. Barnes
Computer vision and classification methods have become increasingly popular in recent years due to ever-increasing computation power. While advances in semiconductor devices are the basis for this growth, few publications have probed the benefits of data

PROBABILITY OF DETECTION OF X-RAY COMPUTED TOMOGRAPHY OF ADDITIVE MANUFACTURING DEFECTS

July 19, 2019
Author(s)
Felix H. Kim, Adam L. Pintar, Jason C. Fox, Jared B. Tarr, M A. Donmez, Anne-Fran?oise Obaton
A methodology to determine probability of detection (POD) of X-ray Computed Tomography (XCT) was developed using Additive Manufacturing defects. A signal response POD analysis (a^ vs a) was used, where both signal response (a^) and true defect size (a)

Comparison of Artificial Intelligence based approaches to cell function prediction

July 11, 2019
Author(s)
Sarala Padi, Petru S. Manescu, Nicholas Schaub, Nathan Hotaling, Carl G. Simon Jr., Peter Bajcsy
Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out either

pyMCR: A Python Library for Multivariate Curve Resolution Analysis

June 24, 2019
Author(s)
Charles H. Camp
In this work, a new software library is presented for performing multivariate curve resolution (MCR)analysis, a chemometric method for elucidating signatures of analytes ("endmember extraction") and their relative abundance (regression) from a series of

A Possible Advantage of Using Bi-directional S-Parameters in Antenna Measurements

November 30, 2018
Author(s)
Alex Yuffa, Ronald C. Wittmann, Michael H. Francis, Josh Gordon, David R. Novotny
the unknown-thru calibration technique is being used to achieve a system level calibration at milli-meter frequencies (>50 GHz) on the robotic ranges at NIST. Since this requires the use of a full bi-directional measurement, which takes longer than

Poisson errors and adaptive rebinning in X-ray Powder Diffraction Data

October 10, 2018
Author(s)
Marcus H. Mendenhall
Abstract This work provides a short summary of techniques for formally-correct handling of statistical uncertainties in Poisson- statistics dominated data. Correct assignment of uncertainties for low counts is documented. We describe a technique for

Generalized source-conditions and uncertainty bounds for deconvolution problems

October 1, 2018
Author(s)
Jake D. Rezac, Andrew M. Dienstfrey, Nicholas A. Vlajic, Akobuije D. Chijioke, Paul D. Hale
Many problems in time-dependent metrology can be phrased mathematically as deconvolution problems. In such cases, measured data is modeled as the convolution of a known system response function with an unknown input signal, and the goal is to estimate the
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