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Mathematical Information Retrieval concerns retrieving information related to a particular mathematical concept. The NTCIR-11 Math Task develops an evaluation test collection for document sections retrieval of scientific articles based on human generated
This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT key
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
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
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
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
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
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
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
Tattoos have been used for many years to assist law enforcement in investigations leading to the identification of criminals and victims. While tattoos lack the distinctiveness and permanence characteristics of a primary biometric trait, it is an elective
Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieval have
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
Donald R. Burgess Jr., Jeffrey A. Manion, Carrigan J. Hayes
A method of extending the IUPAC International Chemical Identifier (InChI) to describe and identify elementary reactions in a standard computer readable notation is proposed. Denoted InChI-ER, the method is based on the existing InChI formalism, with
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
This is a brief introduction on how to run the Python command-line programs (hosted on GitHub at https://github.com/usnistgov/SP800-90B_EntropyAssessment) that implement the statistical entropy estimation tests found in Section 9 of the Draft NIST SP 800
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
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
Hildegard Ferraiolo, Larry Feldman, Gregory A. Witte
NIST has recently released Special Publication (SP) 800-157, Guidelines for Derived Personal Identity Verification (PIV) Credentials. Itto provide the technical details for a system by which mobile devices such as smart phones and tables are provisioned
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
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
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
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