184,540 research outputs found
William R. Kopp (635b26)
No full textA close up of S/Sgt. William R. Kopp. One black and white photograph
Data-based analysis of speech and gesture: the Bielefeld Speech and Gesture Alignment corpus (SaGA) and its applications
No full textLücking A, Bergmann K, Hahn F, Kopp S, Rieser H. Data-based analysis of speech and gesture: the Bielefeld Speech and Gesture Alignment corpus (SaGA) and its applications. Journal on Multimodal User Interfaces. 2013;7(1-2):5-18.Communicating face-to-face, interlocutors frequently produce multimodal meaning packages consisting of speech and accompanying gestures. We discuss a systematically annotated speech and gesture corpus consisting of 25 route-and-landmark-description dialogues, the Bielefeld Speech and Gesture Alignment corpus (SaGA), collected in experimental face-to-face settings. We first describe the primary and secondary data of the corpus and its reliability assessment. Then we go into some of the projects carried out using SaGA demonstrating the wide range of its usability: on the empirical side, there is work on gesture typology, individual and contextual parameters influencing gesture production and gestures’ functions for dialogue structure. Speech-gesture interfaces have been established extending unification-based grammars. In addition, the development of a computational model of speech-gesture alignment and its implementation constitutes a research line we focus on
LocalizeSL: Offline sea-level localization code for Kopp et al. (2014)
No full text<p>This MATLAB code is intended to help end-users who wish to work with the sea-level rise projections of Kopp et al. (2014) in greater detail than provided by the supplementary tables accompanying that table but without re-running the full global analysis using the supplementary code accompanying the paper.</p>
<p><strong>This code has been replaced by doi:10.5281/zenodo.27485. You can find updates to this package at https://github.com/bobkopp/LocalizeSL.</strong></p>
<p>Key functionality these routines provide include:</p>
<ol>
<li>Local sea-level rise projections at decadal time points and arbitrary quantiles</li>
<li>Localized Monte Carlo samples, disaggregatable by contributory process</li>
<li>Localized variance decomposition plots</li>
</ol>
<p>These routines do not provide the extreme flood level analysis in Kopp et al. (2014), but the Monte Carlo time series samples they produce can be combined with other analyses to look at probabilistic changes in flood frequency over time.</p>
<p>This code is intended to accompany the results of</p>
<blockquote>
<p>R. E. Kopp, R. M. Horton, C. M. Little, J. X. Mitrovica, M. Oppenheimer, D. J. Rasmussen, B. H. Strauss, and C. Tebaldi (2014). Probabilistic 21st and 22nd century sea-level projections at a global network of tide gauge sites. Earth's Future 2: 287–306, doi:10.1002/2014EF000239. </p>
</blockquote>
<p>Please cite that paper when using any results generated with this code.</p>
<p>This work was supported by the Risky Business Project, U.S. National Science Foundation award ARC-1203415, National Oceanic & Atmospheric Administration grant NA11OAR4310101, and New Jersey Sea Grant project 6410-0012.</p>
<p> </p>
Near-Term Greenhouse Gas Emissions Targets
No full textAt the present time no widely accepted temporal emissions path for greenhouse gases has been developed and adopted at either a country or a global level. What does exist is a set of nearterm, country-level emissions targets associated with the first commitment period of the Kyoto Protocol and a process for the determination of targets for subsequent commitment periods. However, the first commitment period targets specified by the protocol have been heavily criticized on the grounds that they are arbitrary and ad hoc. The purpose of this paper is to examine the conceptual foundations upon which one might base a domestic climate policy for the United States and to attempt to determine whether a near-term emissions target can indeed be derived from structured decisionmaking resting upon these conceptual foundations.U.S. climate policy, greenhouse gas target, cost-effectiveness analysis, costbenefit analysis
Kopp Dougherty Wedding
No full textEdward Kopp-Elizabeth Dougherty Wedding. Group of 4 women and 2 men in best dress stand facing the camera in front of vine-covered building. l to r: Bridgette Dougherty, Edward Kopp, Elizabeth Dougherty, Mary Dougherty, Lynn McGarry, Mrs. Kopp.Original scanned at 600ppi on an Epson Perfection 4990 Photo flatbed scanner. 8-bit file. File saved as uncompressed TIFF, re-sized and converted to JPEG in PhotoshopCS.Pop Jenks Collectio
Gesture-based Object Recognition using Histograms of Guiding Strokes
No full textSadeghipour A, Morency L-P, Kopp S. Gesture-based Object Recognition using Histograms of Guiding Strokes. In: Bowden R, Collomosse J, Mikolajczyk K, eds. Proceedings of the British Machine Vision Conference. BMVA Press; 2012: 44.1-44.11
Systematicity and Idiosyncrasy in Iconic Gesture Use: Empirical Analysis and Computational Modeling
No full textBergmann K, Kopp S. Systematicity and Idiosyncrasy in Iconic Gesture Use: Empirical Analysis and Computational Modeling. In: Kopp S, Wachsmuth I, eds. Gesture in Embodied Communication and Human-Computer Interaction. Berlin/Heidelberg, Germany: Springer; 2010: 182-194.Why an iconic gesture takes its particular form is a largely open question, given the variations one finds across both situations and speakers. We present results of an empirical study that analyzes correlations between contextual factors (referent features, discourse) and gesture features, and tests whether they are systematic (shared among speakers) or idiosyncratic (inter-individually different). Based on this, a computational model of gesture formation is presented that combines data-based, probabilistic and model-based decision making
LocalizeSL: 1.2 (Offline sea-level localization code for Kopp et al., 2014)
No full text<p>This MATLAB code is intended to help end-users who wish to work with the sea-level rise projections of Kopp et al. (2014) in greater detail than provided by the supplementary tables accompanying that table but without re-running the full global analysis using the supplementary code accompanying the paper.</p>
<p><strong>This version is an automatic archive from github. It does not include the core data file, which is part of doi:10.5281/zenodo.15507 (with older code) and the release binary available on github at https://github.com/bobkopp/LocalizeSL/releases</strong>.</p>
<p>Key functionality these routines provide include:</p>
<ol>
<li>Local sea-level rise projections at decadal time points and arbitrary quantiles</li>
<li>Localized Monte Carlo samples, disaggregatable by contributory process</li>
<li>Localized variance decomposition plots</li>
</ol>
<p>These routines do not provide the extreme flood level analysis in Kopp et al. (2014), but the Monte Carlo time series samples they produce can be combined with other analyses to look at probabilistic changes in flood frequency over time.</p>
<p>This code is intended to accompany the results of</p>
<blockquote>
<p>R. E. Kopp, R. M. Horton, C. M. Little, J. X. Mitrovica, M. Oppenheimer, D. J. Rasmussen, B. H. Strauss, and C. Tebaldi (2014). Probabilistic 21st and 22nd century sea-level projections at a global network of tide gauge sites. Earth's Future 2: 287–306, doi:10.1002/2014EF000239. </p>
</blockquote>
<p>Please cite that paper when using any results generated with this code.</p>
<p>This work was supported by the Risky Business Project, U.S. National Science Foundation award ARC-1203415, National Oceanic & Atmospheric Administration grant NA11OAR4310101, and New Jersey Sea Grant project 6410-0012.</p>
<p>You can find updates to this package at https://github.com/bobkopp/LocalizeSL.</p>
<p>Relative to version 1.0 (doi:10.5281/zenodo.15507), version 1.2:</p>
<ul>
<li>Added support for pulling GSL samples into the same format.</li>
<li>Added function to WriteTableDecomposition.</li>
<li>Added flexible columns and ability to include background variability to PlotSLRProjectionVariance.</li>
<li>Fixed typo in README file and LocalizeStoredProjections documentation.</li>
<li>Fixed file label bug when using multiple sites.</li>
</ul>
bobkopp/LocalizeSL: 2.0
No full text<p>This release includes features developed for Buchanan et al. (2016), Sweet et al. (2017) and Kopp et al. (2017).</p>
<p>Features related to sea-level rise allowances were developed for</p>
<code>M. K. Buchanan, R. E. Kopp, M. Oppenheimer, and C. Tebaldi (2016).
Allowances for evolving coastal flood risk under uncertain local sea-level
rise. Climatic Change 137, 347-362. doi:10.1007/s10584-016-1664-7.
</code>
<p>Features related to developing discrete sea-level rise scenarios conditional on ranges of global mean sea level were developed for</p>
<code>W.V. Sweet, R. E. Kopp, C. P. Weaver, J. Obeysekera, R. Horton, E. R. Thieler,
and C. Zervas (2017). Global and Regional Sea Level Rise Scenarios for the
United States. Technical Report NOS CO-OPS 083. National Oceanic and
Atmospheric Administration.
</code>
<p>Features related to the substitution of output from a physical Antarctic ice-sheet model into the projections framework were developed for</p>
<code>R. E. Kopp, R. M. DeConto, D. A. Bader, R. M. Horton, C. C. Hay, S. Kulp,
M. Oppenheimer, D. Pollard, and B. H. Strauss (2017). Implications of
Antarctic ice-cliff collapse and ice-shelf hydrofracturing mechanisms for
sea-level projections. Earth's Future. doi: 10.1002/2017EF000663.
</code>
Intelligent Agents Living in Social Virtual Environments – Bringing Max into Second Life
No full textWeitnauer E, Thomas N, Rabe F, Kopp S. Intelligent Agents Living in Social Virtual Environments – Bringing Max into Second Life. In: Proc. of Intelligent Virtual Agents (IVA 2008). LNAI, 5208. Berlin/Heidelberg, Germany: Springer; 2008: 552-553
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