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David J. Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Data analytics is proving to be very useful for achieving productivity gains in manufacturing. Predictive analytics (using advanced machine learning) is particularly valuable in manufacturing, as it leads to production improvement with respect to the cost
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The National Institute of Standards and Technology conducts an ongoing series of Speaker Recognition Evaluations (SRE). Recently a new paradigm was adopted to evaluate the performance of speaker recognition systems, in which three distributions of scores
Aaron G. Kusne, Christian J. Long, Ichiro Takeuchi, Tieren Gao
Advanced materials characterization techniques with ever-growing data acquisition speed and storage capabilities represent a challenge in modern materials science, and new procedures to quickly assess and analyze the data are needed. Machine learning
Donald R. Burgess Jr., Jeffrey A. Manion, Carrigan J. Hayes
Standardized electronic formats for data are needed to efficiently and transparently communicate the results of scientific studies. A format for the unique identification of chemical species is a requirement in the field of chemistry, and the IUPAC
"Evaluation as a service" (EaaS) is a new methodology that enables community-wide evaluations and the construction of test collections on documents that cannot be distributed. The basic idea is that evaluation organizers provide a service API through which
Using the inferred measures framework is a popular choice for constructing test collections when the target document set is too large for pooling to be a viable option. Within the framework, different amounts of assessing effort is placed on different
This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and informative descriptors for images and
The oxidation of hydrocarbon fuels proceeds through the attack of small radicals such as H and CH3 on large molecules. These radicals abstract H atoms from the large molecules, which then usually proceed by β-scission to form C2H4 and C3H6. Quantifying
In this paper we report the results of the SHREC 2014 track on automatic location of landmarks used in manual anthropometry. The track has been organized to test the ability of modern computational geometry/pattern recognition techniques to locate
Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content- based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale com- prehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models. The track is
This contribution reports the results of the SHREC 2014 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The
We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of
This paper presents an overview of the video copy detection benchmark which was run over a period of 4 years (2008-2011) as part of the TREC Video Retrieval (TRECVID) workshop series. The main contributions of the paper include i) an examination of the
For a magnetic trapping experiment, I present an efficient method for simulating experimental beta −decay rates which accounts for loss of marginally trapped neutrons due to wall collisions and other possible loss mechanisms. Monte Carlo estimates of time
Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, David M. Joy, Martial Michel, George M. Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
TRECVID 2013 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 ten years this effort has yielded a better
Desu Chen, Sumona Sarkar, Stephen J. Florczyk, Subhadip Bodhak, Carl G. Simon Jr., Joy P. Dunkers, Julian Candia, Wolfgang Losert
Cell shape has been demonstrated to be closely related to cell function and may be an important predictor of cell fate. Many metrics are available to describe cell shape, however the relationship of these metrics to cell fate are not well understood
Anthony J. Downs, Lisa J. Fronczek, Emile L. Morse, Brian A. Weiss, Ian P. Bashor, Craig I. Schlenoff
Transformative Apps (TransApps) is a Defense Advanced Research Projects Agency (DARPA) funded program whose goal is to develop a range of militarily-relevant software applications ("apps") to enhance the operational effectiveness of military personnel on
Search engines help users locate particular information within large stores of content developed for human consumption. For example, users expect web search engines to direct searchers to web sites based on the content of the site rather than the site
Suppose we seek a set of nodes in a network that will enable the fastest spread of information in a decentralized communication environment. If communication resources are limited there are constraints on the number of nodes that can be selected. In this
In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses high-
In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect
Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small