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Displaying 201 - 225 of 661

Strategies for Parallel Markup

July 12, 2015
Author(s)
Bruce R. Miller
Cross-referenced parallel markup for mathematics allows the combination of both presentation and content representations while associating the components of each. Interesting applications are enabled by such an arrangement, such as interaction with parts

Strategy for extensible, evolving terminology for the Materials Genome Initiative efforts

July 1, 2015
Author(s)
Talapady N. Bhat, Ursula R. Kattner, Laura Bartolo, Carelyn E. Campbell, John T. Elliott
Intuitive, flexible, and evolving terminology plays a significant role in capitalizing on recommended knowledge representation models for material engineering applications. In this article we present a proposed rules-based approach with initial examples

PIXEL FUSION BASED STEREO IMAGE RETARGETING

June 29, 2015
Author(s)
Hamid Gharavi
Image retargeting attempts to adapt images to different devices while preserving the salient contents. Most existing methods address retargeting of a single image. In this paper, we propose a novel image retargeting method for resizing a pair of stereo

Digital Repository of Mathematical Formulae KLS Seeding Project

June 23, 2015
Author(s)
Howard S. Cohl, Marjorie A. McClain, Bonita V. Saunders, Moritz Schubotz, Cherry Y. Zou, Alex A. Danoff, Azeem S. Mohammed
One initial goal for the DRMF is to seed our digital compendium with fundamental orthogonal polynomial formulae. We have received permission from Springer-Verlag and the authors to use formulae from Chapters 1, 9, and 14 from the book "Hypergeometric

A Generalized Data-Driven Energy Prediction Model with Uncertainty for a Milling Machine Tool using Gaussian Process

June 8, 2015
Author(s)
Jinkyoo Park, Raunak Bhinge, Nishant Biswas, Amrita Srinivasan, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri
Using a machine learning approach, this study investigates the effects of machining parameters on the energy consumption of a milling machine tool, which would allow selection of optimal operational strategies to machine a part with the minimum energy

SHREC'15: Range Scans based 3D Shape Retrieval

May 3, 2015
Author(s)
Afzal A. Godil
The objective of the SHREC'15 Range Scans based 3D Shape Retrieval track is to evaluate algorithms that match range scans of real objects to complete 3D mesh models in a target dataset. The task is to retrieve a rank list of complete 3D models that are of

Data Formats for Elementary Gas Phase Kinetics: Part 3. Reaction Classification

April 20, 2015
Author(s)
Donald R. Burgess Jr., Jeffrey A. Manion, Carrigan J. Hayes
A method denoted InChI ER has been developed to describe and identify elementary reactions in a standard computer-readable notation by extending the IUPAC International Chemical Identifier (InChI) formalism. Five additional hierarchical InChI ER layers

TRECVID 2014 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

March 26, 2015
Author(s)
Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, David M. Joy, Martial Michel, George Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2014 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last

Detection and characterization of nonspecific, sparsely-populated binding modes for conformational selection in the early stages of complexation

March 18, 2015
Author(s)
Antonio Cardone, Aaron Bornstein, Harish C. Pant, Mary C. Brady, Ram D. Sriram, Sergio Hassan
A method is proposed to study protein-ligand binding in a system governed by specific and non-specific interactions. Strong associations lead to narrow conformational distributions in the proteins configuration space; weak and ultra-weak associations lead

An Overview of the NTIA/NIST Spectrum Monitoring Pilot Program

March 9, 2015
Author(s)
Michael Cotton, Michael R. Souryal, Mudumbai Ranganathan, Jeff Wepman, Julie Kub, Steve Engelking, Yeh Lo, Heather Ottke, Raian Kaiser, Douglas Anderson
This paper provides an overview of a Spectrum Monitoring Pilot Program within the U.S. Department of Commerce. It provides background, motivation, goals, accomplishments, and plans for future work. We describe the development of a federated Measured

An efficient curve evolution algorithm for multiphase image segmentation

January 7, 2015
Author(s)
Gunay Dogan
We propose a novel iterative algorithm for segmentation of multiphase images by curve evolution. Specifically, we address a multiphase version of the Chan-Vese piecewise constant segmentation energy. Our algorithm is efficient: it is based on an explicit

Guidelines for Derived Personal Identity Verification (PIV) Credentials

December 19, 2014
Author(s)
Hildegard Ferraiolo, David A. Cooper, Salvatore Francomacaro, Andrew R. Regenscheid, Jason Mohler, Sarbari Gupta, William E. Burr
This recommendation provides technical guidelines for the implementation of standards-based, secure, reliable, interoperable PKI-based identity credentials that are issued by Federal departments and agencies to individuals who possess and prove control

Computing confidence intervals for common IR measures

December 9, 2014
Author(s)
Ian M. Soboroff
Confidence intervals quantify the uncertainty in an average and o↵er a robust alternative to hypothesis testing. We measure the performance of standard and bootstrapped con- fidence intervals on a number of common IR measures using several TREC and NTCIR

Functorial Data Migration: From Theory to Practice

November 3, 2014
Author(s)
Eswaran Subrahmanian, Ryan Wisnesky, David Spivak, Patrick Schultz
In this paper we describe a functorial data migration [6] scenario about the manufacturing service capability of a distributed supply chain. The scenario is a category-theoretic analog of an OWL ontology-based \semantic enrichment" scenario [5] developed

Spatial Computations over Terabyte-Sized Images on Hadoop Platforms

October 27, 2014
Author(s)
Peter Bajcsy, Antoine Vandecreme, Mary C. Brady, Phuong Nguyen
Our objective is to lower the barrier of executing spatial image computations in a computer cluster/cloud environment instead of in a desktop/laptop computing environment. We research two related problems encountered during an execution of spatial
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