Bibliografías temáticas / Point scale

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Literatura académica sobre el tema "Point scale"

Autor: Grafiati
Publicado: 10 de marzo de 2023

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Artículos de revistas sobre el tema "Point scale"

1

Lin, Baowei, Fasheng Wang, Yi Sun, Wen Qu, Zheng Chen, and Shuo Zhang. "Boundary points based scale invariant 3D point feature." Journal of Visual Communication and Image Representation 48 (October 2017): 136–48. http://dx.doi.org/10.1016/j.jvcir.2017.05.007.

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Landrum, R. Eric. "Scaling Issues in Faculty Evaluations." Psychological Reports 84, no. 1 (1999): 178–80. http://dx.doi.org/10.2466/pr0.1999.84.1.178.

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148 students were asked to evaluate particular survey questions with scales that varied in number of scale points, type of labeling, and labeling of anchors only vs all scale points. No significant difference was found between variations on 4-and 5-point scales, so these data were collapsed. Analysis indicated that students generated scale-point exemplars significantly better for 4-point scales (96.7%) than for 5-point (87.8%) and 10-point (79.3%) scales. These results are discussed with respect to the administration of student evaluations and the care required in selecting a scale type and in
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3

Lin, Baowei, Toru Tamaki, Fangda Zhao, Bisser Raytchev, Kazufumi Kaneda, and Koji Ichii. "Scale alignment of 3D point clouds with different scales." Machine Vision and Applications 25, no. 8 (2014): 1989–2002. http://dx.doi.org/10.1007/s00138-014-0633-2.

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Dawes, John. "Do Data Characteristics Change According to the Number of Scale Points Used? An Experiment Using 5-Point, 7-Point and 10-Point Scales." International Journal of Market Research 50, no. 1 (2008): 61–104. http://dx.doi.org/10.1177/147078530805000106.

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Gunderman, Richard B., and Stephen Chan. "The 13-Point Likert Scale." Academic Radiology 20, no. 11 (2013): 1466–67. http://dx.doi.org/10.1016/j.acra.2013.04.010.

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Dalal, Dev K., Nathan T. Carter, and Christopher J. Lake. "Middle Response Scale Options are Inappropriate for Ideal Point Scales." Journal of Business and Psychology 29, no. 3 (2013): 463–78. http://dx.doi.org/10.1007/s10869-013-9326-5.

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Et.al, Santanu Choudhury. "Reliability and Validity of Compulsive Buying Scale Without Middle Point." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 3604–10. http://dx.doi.org/10.17762/turcomat.v12i3.1640.

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Objective: The study aims at finding out the affect of reliability and validity for the compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale without middle point.
 Methodology: Responses across 5 to 9 point scales are obtained to calculate the reliability and validity of compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale. Cronbach’s alpha is used to measure the internal reliability of the scale. To compare the reliability coefficients among different scale points Feldt test and Hakstian-Whalen test are used. Convergent validity for measuring int
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Lin, Baowei, Fasheng Wang, Fangda Zhao, and Yi Sun. "Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection." Neural Computing and Applications 29, no. 5 (2017): 1209–24. http://dx.doi.org/10.1007/s00521-017-2964-1.

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Kartika, Nadya Larasati, and Nurul Alfiyati. "ANALYSIS OF AIRY POINT APPLICATION ON LINE SCALE CALIBRATION IN RCM LIPI." Jurnal Standardisasi 20, no. 3 (2019): 189. http://dx.doi.org/10.31153/js.v20i3.717.

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<p>Calibration of line scale in the Research Center for Metrology LIPI Indonesia (RCM-LIPI) is traceable to one dimensional measuring machine (SIP machine). Capability of the SIP machine table used as the base of line scale, however, covers only up to 400 mm and can be extended to 1000 mm using shifting methods. Supporting point as a method to maintain line scale still straight during measurement should be applied on machine table. For line scale ranged 400 mm, supporting point can be attached because the whole artefact is on the table, while some of the industrial instruments have scale
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Wang, Guang Xue, Yong Chun Liu, and Huan He. "A New Multi-Scale Harris Interesting Point Detector." Applied Mechanics and Materials 602-605 (August 2014): 1950–55. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1950.

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The interesting point is important features in images, which is frequently used for image registration, scene analysis, object tracking. Many algorithms for detecting the interesting points have been developed up to now. Among them, the Harris interesting point detector is proved most stable against rotation and noise, while it is also very sensitive to scale change. In order to solve this problem, a new multi-scale Harris interesting point detection algorithm is proposed in this paper. The algorithm consists of two main stages. In stage one, we build a multi-scale representation for Harris me
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Tesis sobre el tema "Point scale"

1

Lindeberg, Tony. "Scale Selection Properties of Generalized Scale-Space Interest Point Detectors." KTH, Beräkningsbiologi, CB, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101220.

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Scale-invariant interest points have found several highly successful applications in computer vision, in particular for image-based matching and recognition. This paper presents a theoretical analysis of the scale selection properties of a generalized framework for detecting interest points from scale-space features presented in Lindeberg (Int. J. Comput. Vis. 2010, under revision) and comprising: an enriched set of differential interest operators at a fixed scale including the Laplacian operator, the determinant of the Hessian, the new Hessian feature strength measures I and II and the rescal
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2

Griffin, Joshua D. "Interior-point methods for large-scale nonconvex optimization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3167839.

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Graehling, Quinn R. "Feature Extraction Based Iterative Closest Point Registration for Large Scale Aerial LiDAR Point Clouds." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1607380713807017.

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Siegl, Manuel. "Atomic-scale investigation of point defect interactions in semiconductors." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10043636/.

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Miniaturisation of computer hardware has increased the transistor density in silicon devices significantly and is approaching the ultimate physical limit of single atom transistors. A thorough understanding of the nature of materials at the atomic scale is needed in order to increase the transistor density further and exploit more recent technology proposals. Moreover, exploring other materials with more desirable characteristics such as wide band gap semiconductors with a higher dielectric strength and optical addressability are paramount in the effort of moving to a post-silicon era. Scannin
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5

Marcia, Roummel F. "Primal-dual interior-point methods for large-scale optimization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3044769.

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Khoury, Rasha. "Nanometer scale point contacting techniques for silicon Photovoltaic devices." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLX070/document.

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Au cours de cette thèse, j’ai étudié la possibilité et les avantages d’utiliser des contacts nanométriques au-dessous de 1 µm. Des simulations analytiques et numériques ont montré que ces contacts nanométriques sont avantageux pour les cellules en silicium cristallin comme ils peuvent entrainer une résistance ohmique négligeable. Mon travail expérimental était focalisé sur le développement de ces contacts en utilisant des nanoparticules de polystyrène comme un masque. En utilisant la technique de floating transfert pour déposer les nanosphères, une monocouche dense de nanoparticules s’est form
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7

Colombo, Marco. "Advances in interior point methods for large-scale linear programming." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2488.

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This research studies two computational techniques that improve the practical performance of existing implementations of interior point methods for linear programming. Both are based on the concept of symmetric neighbourhood as the driving tool for the analysis of the good performance of some practical algorithms. The symmetric neighbourhood adds explicit upper bounds on the complementarity pairs, besides the lower bound already present in the common N−1 neighbourhood. This allows the algorithm to keep under control the spread among complementarity pairs and reduce it with the barrier paramete
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Wehbe, Diala. "Simulations and applications of large-scale k-determinantal point processes." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I012/document.

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Avec la croissance exponentielle de la quantité de données, l’échantillonnage est une méthode pertinente pour étudier les populations. Parfois, nous avons besoin d’échantillonner un grand nombre d’objets d’une part pour exclure la possibilité d’un manque d’informations clés et d’autre part pour générer des résultats plus précis. Le problème réside dans le fait que l’échantillonnage d’un trop grand nombre d’individus peut constituer une perte de temps.Dans cette thèse, notre objectif est de chercher à établir des ponts entre la statistique et le k-processus ponctuel déterminantal(k-DPP) qui est
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9

Leaf, Kyle, and Fulvio Melia. "A two-point diagnostic for the H ii galaxy Hubble diagram." OXFORD UNIV PRESS, 2018. http://hdl.handle.net/10150/627132.

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A previous analysis of starburst-dominated HII galaxies and HII regions has demonstrated a statistically significant preference for the Friedmann-Robertson-Walker cosmology with zero active mass, known as the R-h = c(t) universe, over Lambda cold dark matter (Lambda CDM) and its related dark-matter parametrizations. In this paper, we employ a two-point diagnostic with these data to present a complementary statistical comparison of Rh = ct with Planck Lambda CDM. Our two-point diagnostic compares, in a pairwise fashion, the difference between the distance modulus measured at two redshifts with
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Nxumalo, Jochonia Norman. "Cross-sectional imaging of semiconductor devices using nanometer scale point contacts." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0007/NQ32010.pdf.

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Libros sobre el tema "Point scale"

1

Mitzi, Curtis, ed. The Incredible 5-Point Scale. Autism Asperger Publishing Co., 2003.

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Schwarz, Udo, and Hendrik Hoelscher. Atomic-Scale Principles of Point Contact Friction. Springer, 2006.

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3

IEEE VLSI Test Symposium (17th 1999 Dana Point, Calif.). 17th IEEE VLSI Test Symposium: Proceedings : April 25-29, 1999, Dana Point, California. IEEE Computer Society, 1999.

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Morrison, C. A. A study of point symbol design for computer based large scale tourist mapping. University of Portsmouth, 1992.

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Multi-point interconnects for globally-asynchronous locally-synchronous systems. Hartung-Gorre Verlag, 2005.

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Tamás, Terlaky, ed. Interior point methods of mathematical programming. Kluwer, 1996.

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Levkovitz, R. An investigation of interior point methods for large scale linear programs: Theory and computational algorithms. Brunel University, 1992.

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Buron, Kari Dunn. The incredible 5-point scale: Assisting students in understanding social interactions and controlling their emotional responses. 2nd ed. AAPC Pub., 2012.

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Fitzgerald, Garrett Christopher. Multi-scale Analysis of Methane Gas Hydrate Formation and Dissociation via Point Source Thermal Stimulation and Carbon Dioxide Exchange. [publisher not identified], 2014.

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10

K, Tanaabe, and United States. National Aeronautics and Space Administration., eds. A new method of determining acid base strength distribution and a new acidity-basicity scale for solid catalysts: The strongest point, Ho. National Aeronautics and Space Administration, 1988.

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Capítulos de libros sobre el tema "Point scale"

1

Axelsson, Owe. "Eigenvalue Estimates for Preconditioned Saddle Point Matrices." In Large-Scale Scientific Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24588-9_1.

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Rethage, Dario, Johanna Wald, Jürgen Sturm, Nassir Navab, and Federico Tombari. "Fully-Convolutional Point Networks for Large-Scale Point Clouds." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01225-0_37.

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Li, Yunpeng, Noah Snavely, Daniel P. Huttenlocher, and Pascal Fua. "Worldwide Pose Estimation Using 3D Point Clouds." In Large-Scale Visual Geo-Localization. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25781-5_8.

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Betts, John T., Samuel K. Eldersveld, Paul D. Frank, and John G. Lewis. "An Interior-Point Algorithm for Large Scale Optimization." In Large-Scale PDE-Constrained Optimization. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55508-4_11.

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Bängtsson, Erik, and Maya Neytcheva. "An Agglomerate Multilevel Preconditioner for Linear Isostasy Saddle Point Problems." In Large-Scale Scientific Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11666806_11.

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Leibfritz, Friedemann, and Ekkehard W. Sachs. "Numerical Solution of Parabolic State Constrained Control Problems Using SQP- and Interior-Point-Methods." In Large Scale Optimization. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3632-7_13.

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Tits, André L., and Jian L. Zhou. "A Simple, Quadratically Convergent Interior Point Algorithm for Linear Programming and Convex Quadratic Programming." In Large Scale Optimization. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3632-7_20.

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Giovangigli, V., and M. D. Smooke. "Extinction Limits for Premixed Laminar Flames in a Stagnation Point Flow." In Large Scale Scientific Computing. Birkhäuser Boston, 1987. http://dx.doi.org/10.1007/978-1-4684-6754-3_9.

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Park, Hyun Soo, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, and Mei Chen. "3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming." In Large-Scale Visual Geo-Localization. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25781-5_10.

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Martin, Richard Kipp. "Interior Point Algorithms: Polyhedral Transformations." In Large Scale Linear and Integer Optimization: A Unified Approach. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4975-8_7.

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Actas de conferencias sobre el tema "Point scale"

1

Serajeh, Reza, Amir Ebrahimi Ghahnavieh, and Karim Faez. "Multi scale feature point tracking." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2014. http://dx.doi.org/10.1109/iraniancee.2014.6999699.

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Lin, Baowei, Fangda Zhao, Toru Tamaki, Fasheng Wang, and Le Xiao. "SIPF: Scale invariant point feature for 3D point clouds." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351275.

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Lam, Michael O., and Barry L. Rountree. "Floating-Point Shadow Value Analysis." In 2016 5th Workshop on Extreme-Scale Programming Tools (ESPT). IEEE, 2016. http://dx.doi.org/10.1109/espt.2016.007.

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Lin, Baowei, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and Koji Ichii. "Scale ratio ICP for 3D point clouds with different scales." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738457.

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Guo Ming, Zhao Youshan, Wang Yanmin, and Zhou Junzhao. "Modeling of large-scale point model." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5357654.

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Kyae, B. "Shifted Focus Point and Gluino Mass Bound in the Minimal Mixed Mediation of SUSY Breaking." In 18th International Conference From the Planck Scale to the Electroweak Scale. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.258.0074.

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Jihua Zhu, Nanning Zheng, Zejian yuan, and Shaoyi Du. "Point-to-line metric based Iterative Closest Point with bounded scale." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138705.

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Wang, Jun, Xiaolong Li, Alan Sullivan, Lynn Abbott, and Siheng Chen. "PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00488.

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Contreras, Jhonatan, and Joachim Denzler. "Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8899303.

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Hongchen Chen, Zongze Wu, Shaoyi Du, Nan Zhou, and Jing Sun. "Robust scale iterative closest point algorithm based on correntropy for point set registration." In 2016 Australian Control Conference (AuCC). IEEE, 2016. http://dx.doi.org/10.1109/aucc.2016.7868195.

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Informes sobre el tema "Point scale"

1

McVay, Aaron. Point Cloud Storage and Access on a Global Scale. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada619005.

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Ames, Lawrence L., and Edward J. George. Revision and Verification of a Seven-Point Workload Estimate Scale. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269194.

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Nash, J. G. VLSI (Very Large Scale Integration) Floating Point Chip Design Study. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada164198.

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Frieman, J. A., and E. Gaztanaga. The three-point function as a probe of models for large-scale structure. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6280691.

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Frieman, J. A., and E. Gaztanaga. The three-point function as a probe of models for large-scale structure. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10171918.

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Dhakal, Tilak Raj. Multi-scale calculation based on dual domain material point method combined with molecular dynamics. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1345173.

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Bixby, Robert E., John W. Gregory, Irvin J. Lustig, Roy E. Marsten, and David F. Shanno. Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada452700.

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Duque, Earl, Steve Legensky, Brad Whitlock, et al. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40887.

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At the AIAA SciTech 2020 conference, the Meshing, Visualization and Computational Environments Technical Committee hosted a special technical panel on In Situ/In Transit Computational Environments for Visualization and Data Analytics. The panel brought together leading experts from industry, software vendors, Department of Energy, Department of Defense and the Japan Aerospace Exploration Agency (JAXA). In situ and in transit methodologies enable Computational Fluid Dynamic (CFD) simulations to avoid the excessive overhead associated with data I/O at large scales especially as simulations scale
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Lever, James, Susan Taylor, Arnold Song, Zoe Courville, Ross Lieblappen, and Jason Weale. The mechanics of snow friction as revealed by micro-scale interface observations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42761.

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The mechanics of snow friction are central to competitive skiing, safe winter driving and efficient polar sleds. For nearly 80 years, prevailing theory has postulated that self-lubrication accounts for low kinetic friction on snow: dry-contact sliding warms snow grains to the melting point, and further sliding produces meltwater layers that lubricate the interface. We sought to verify that self-lubrication occurs at the grain scale and to quantify the evolution of real contact area to aid modeling. We used high-resolution (15 μm) infrared thermography to observe the warming of stationary snow
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Burns, Danny, Marina Apgar, and Anna Raw. Designing a Participatory Programme at Scale: Phases 1 and 2 of the CLARISSA Programme on Worst Forms of Child Labour. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/clarissa.2021.004.

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CLARISSA (Child Labour: Action-Research-Innovation in South and South-Eastern Asia) is a large-scale Participatory Action Research programme which aims to identify, evidence, and promote effective multi-stakeholder action to tackle the drivers of the worst forms of child labour in selected supply chains in Bangladesh, Nepal, and Myanmar. CLARISSA places a particular focus on participants’ own ‘agency’. In other words, participants’ ability to understand the situation they face, and to develop and take actions in response to them. Most of CLARISSA’s participants are children. This document shar
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