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Reduction and analysis of SANS and USANS data using IGOR Pro
2006
Journal of Applied Crystallography
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A graphical interface has been developed to visualize and quickly reduce raw SANS and USANS data into one- or two-dimensional formats for interpretation. ...
A software package is presented for performing reduction and analysis of small-angle neutron scattering (SANS) and ultra-small-angle neutron scattering (USANS) data. ...
The NIST SANS group is thanked for contribution of several analysis models, and for extensive suggestions, testing and error checking. ...
doi:10.1107/s0021889806035059
fatcat:4dstaypypvczboxxup72wuhbia
Compact and efficient generation of radiance transfer for dynamically articulated characters
2007
Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia - GRAPHITE '07
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We provide insights into the dimensionality reduction of the pose and coefficient spaces. ...
Low memory requirements, fast model fitting and a simple runtime algorithm make our approach suitable for interactive applications, such as games. ...
Acknowledgments The authors would like to thank Alexis Angelidis for the Master Pai model, Gonzalo Ramos, Paul Debevec for his environment lighting probes and the anoymous reviewers for their helpful comments ...
doi:10.1145/1321261.1321288
dblp:conf/graphite/NowrouzezahraiSKSF07
fatcat:svbtwlu7xzbd5acuss4cleve4e
Toward a virtual environment for biomechanical simulation
2001
Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures
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Three dimensional reconstructions of patient specific data are visualized and the elastic properties of individual anatomical structures are modeled. ...
for interactive biomechanical simulation and surgical planning. ...
Future work will include the interaction with volumetric data and its deformation. Mass-spring based soft tissue modeling will be replaced with fast finite element methods. ...
doi:10.1117/12.428087
dblp:conf/miigp/ZerfassK01
fatcat:5ilj7ky4ajbcnedpnsukv6ozj4
Projection of Wireless Multipath Clusters Using Multi-Dimensional Visualization Techniques
2020
Advances in Science, Technology and Engineering Systems
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The geometric-based stochastic channel model considers different interacting objects affecting the parameters using the indicated parameters measured, such as the delay, power profile, and angles of departure ...
The automatic approach clusters the measured or simulated data using an algorithm; on the other hand, the manual approach uses a visual representation and an expert evaluation to cluster the data. ...
Acknowledgment De La Salle University is acknowledged for supporting this work. ...
doi:10.25046/aj0506129
fatcat:q7j3d5plwjdnllkwk4en7ogroa
Spectron: Graphical Model for Interacting With Timbre
2009
Tecno Lógicas
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Un grupo de datos muy simple fue extraído de un sintetizador substractivo comercial y analizado con dos aproximaciones diferentes, reducción dimensional y visualización abstracta de datos. ...
A very simple data set was extracted from a commercial subtractive synthesizer and analyzed in two different approaches, dimensionality reduction and abstract data visualization. ...
In addition, these are tools meant primarily for data visualization, more than for interaction. ...
doi:10.22430/22565337.232
fatcat:ie6xsaa3gban7lavrpms7r5il4
Identifying Similar Eye Movement Patterns with t-SNE
2018
International Symposium on Vision, Modeling, and Visualization
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The scatterplots can be used as means to interact with and to further annotate and analyze the data for additional properties focusing on space, time, or participants. ...
In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions. ...
visualization technique for the 2D projection of the high-dimensional data which is a typical diagram type for dimensionality reduction techniques. ...
doi:10.2312/vmv.20181260
dblp:conf/vmv/Burch18
fatcat:xrt2ftonuraqflxlnx26ftl7gq
Two axes re-ordering methods in parallel coordinates plots
2016
Journal of Visual Languages and Computing
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Visualization and interaction of multidimensional data are challenges in visual data analytics, which requires optimized solutions to integrate the display, exploration and analytical reasionning of data ...
into one visual pipeline for human-centered data analysis and interpretation. ...
ACKNOWLEDGMENTS The authors wish to thank anonymous reviewers for spending valuable time in reviewing our paper and providing us with important comments to improve the paper. ...
doi:10.1016/j.jvlc.2015.12.001
fatcat:pvjav5zrxvgnzi3xv2vbv4ejn4
Generative modeling for continuous non-linearly embedded visual inference
2004
Twenty-first international conference on Machine learning - ICML '04
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We analyze reduced manifolds for human interaction activities, and demonstrate that the algorithm learns continuous generative models that are useful for tracking and for the reconstruction of 3D human ...
Nonlinearities, inherent sparsity of high-dimensional training sets, and lack of global continuity makes dimensionality reduction challenging and lowdimensional search inefficient. ...
Introduction Many successful visual tracking approaches are based on high-dimensional, physically inspired, non-linear generative models of shape, intensity or motion [11, 6, 15, 18] . ...
doi:10.1145/1015330.1015371
dblp:conf/icml/SminchisescuJ04
fatcat:l3celqt3lnehdm7papcr6tvjj4
Visualizing High-Dimensional Data: Advances in the Past Decade
2017
IEEE Transactions on Visualization and Computer Graphics
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pipeline and identifying future opportunities for visualization research. ...
Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. ...
Based on the amount of user interaction, we can classify all high-dimensional data visualization methods into three categories: computation-centric, interactive exploration, and model manipulation. ...
doi:10.1109/tvcg.2016.2640960
pmid:28113321
fatcat:3xb2npz44fgxzpfueum5hhso5u
Intelligent Assessment of Mental Health Based on Multisource Information Fusion
2022
Journal of Healthcare Engineering
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The MDS algorithm is used to project multidimensional survey objects into low-dimensional visualization space, and the actual UPI and SCL-90 questionnaire data for 278 students of a certain major at a ...
Combining the data description of UPI and SCL-90 and the corresponding task requirement analysis, the multisource information fusion visualization based on the Circos diagram is designed and realized, ...
Acknowledgments is study was supported by the significant research achievement of the key project of Educational Science Planning of Hubei Province (2019GA040) and the research project of humanities and ...
doi:10.1155/2022/7149817
pmid:35126943
pmcid:PMC8813255
fatcat:jmsuftx2u5dbjjaxoc6aegfrde
Implicit Multidimensional Projection of Local Subspaces
[article]
2020
arXiv
pre-print
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The results are visualized as glyphs and analyzed using a full set of specifically-designed interactions supported in our efficient web-based visualization tool. ...
The usefulness of our method is demonstrated using various multi- and high-dimensional benchmark datasets. ...
It is often conducted by reducing data dimensionality with a dimensionality reduction (DR) technique and then visualizing the reduced data with scatterplots. ...
arXiv:2009.03259v1
fatcat:6idkiz64hbcyfcfh4dwrukbqfe
Immersive Interactive Information Mining with Application to Earth Observation Data Retrieval
[chapter]
2013
Lecture Notes in Computer Science
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For instance, the limitation in dimension of the display screen prevents visualizing high-dimensional data points. ...
In this system, Dimension Reduction (DR) techniques are applied to high-dimensional data to map into a lower-dimensional space to be visualized in an immersive 3D virtual environment. ...
The authors would like to thank reviewers for their valuable comments. ...
doi:10.1007/978-3-642-40511-2_27
fatcat:yq5mgarvdjbwfczre2ixehml5m
Bridging the gap between user intention and model parameters for human-in-the-loop data analytics
2016
Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16
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This paper examines usability issues of Human-Model Interaction (HMI) for data analytics. ...
These models have parameters that can be adjusted to explore the data from many different angles providing more ways to learn about the data. ...
This research was supported in part by NSF grants IIS-1447416, IIS-1218346, and DUE-1141096. ...
doi:10.1145/2939502.2939505
dblp:conf/sigmod/SelfVFN16
fatcat:mgert2jowjfq3mil74xi6cmtz4
High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots
[article]
2016
arXiv
pre-print
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Parallel coordinate plots (PCPs) are among the most useful techniques for the visualization and exploration of high-dimensional data spaces. ...
In this paper, we present a new technique for high-dimensional data visualization in which a set of low-dimensional PCPs are interactively constructed by sampling user-selected subsets of the high-dimensional ...
[22] and Liu et al. [23] applied dimension reduction schemes to interactively select subsets of the high-dimensional data. Nohno et al. ...
arXiv:1609.05268v1
fatcat:lavh6tjhpbbe5nugbqzmv2vlk4
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
2016
IEEE Transactions on Visualization and Computer Graphics
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In the case of using scatterplots to visualize the outputs of dimension reduction techniques, the x and y axes are combinations of the true, high-dimensional data. ...
Index Terms-Scatterplots, user interaction, model steering For information on obtaining reprints of this article, please send ...
Semantic interaction techniques function by inferring model updates based on direct interactions performed in the visualization [16, 17] . ...
doi:10.1109/tvcg.2015.2467615
pmid:26357399
fatcat:yvjc2pbacnhhrelfdcm327tyza
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