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Reduction and analysis of SANS and USANS data using IGOR Pro

Steven R. Kline
2006 Journal of Applied Crystallography  
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

Derek Nowrouzezahrai, Patricio Simari, Evangelos Kalogerakis, Karan Singh, Eugene Fiume
2007 Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia - GRAPHITE '07  
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

Peter Zerfass, Erwin Keeve, Seong K. Mun
2001 Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures  
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

Aaron Don M. Africa, Emmanuel T. Trinidad, Lawrence Materum
2020 Advances in Science, Technology and Engineering Systems  
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

Daniel Gómez
2009 Tecno Lógicas  
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

Michael Burch
2018 International Symposium on Vision, Modeling, and Visualization  
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

Liang Fu Lu, Mao Lin Huang, Jinson Zhang
2016 Journal of Visual Languages and Computing  
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

Cristian Sminchisescu, Allan Jepson
2004 Twenty-first international conference on Machine learning - ICML '04  
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

Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2017 IEEE Transactions on Visualization and Computer Graphics  
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

Yumei Jing, Deepak Kumar Jain
2022 Journal of Healthcare Engineering  
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]

Rongzheng Bian, Yumeng Xue, Liang Zhou, Jian Zhang, Baoquan Chen, Daniel Weiskopf, Yunhai Wang
2020 arXiv   pre-print
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]

Mohammadreza Babaee, Gerhard Rigoll, Mihai Datcu
2013 Lecture Notes in Computer Science  
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

Jessica Zeitz Self, Radha Krishnan Vinayagam, J. T. Fry, Chris North
2016 Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16  
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]

Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim
2016 arXiv   pre-print
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

Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert
2016 IEEE Transactions on Visualization and Computer Graphics  
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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