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A Feature-first Approach to Clustering for Highlighting Regions of Interest in Scientific Data

Robert Sisneros
2015 Procedia Computer Science  
In this paper we will provide the details of design and implementation and demonstrate using the auto-tuned approach to extract interesting regions of real scientific data.  ...  This approach is unsurprisingly very sensitive to this weighting; a sampling of possible values yields a wide variety of classifications.  ...  Feature-first Approach to Clustering . . .  ... 
doi:10.1016/j.procs.2015.05.497 fatcat:347sjjf6e5beppxgnixudhmkum

Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations

2018 IEEE Transactions on Visualization and Computer Graphics  
Using scientific workflow theory and, as a vehicle, the problem of viscous finger evolution, we advocate an alternative model that allows domain experts to explore features of interest first, then explore  ...  We demonstrate the effectiveness of this approach with an online web-based exploration of a total volume of data approaching half a billion seven-dimensional data points, and report supportive feedback  ...  We thank Dagstuhl seminar 18041 and seminar 18161 for cross-pollination of ideas.  ... 
doi:10.1109/tvcg.2018.2864849 pmid:30136949 pmcid:PMC6382591 fatcat:gj2xk5bj3bbgxetcrntgb56c2e

Selective Visualization of Vector Fields

Theo Walsum, Frits H. Post
1994 Computer graphics forum (Print)  
In this paper, we present an approach to selective vector field visualization.  ...  Combination of these techniques with a standard visualization pipeline improves the visualization process and offers new facilities for visualization.  ...  Acknowledgements The data for the flow in a backward facing step geometry is courtesy Technical Mathematics Department of Delft, University of Technology.  ... 
doi:10.1111/1467-8659.1330339 fatcat:zv5bws3yprch5nz76xt3pgpgpi

Interactive analysis of Long-read RNA isoforms with Iso-Seq Browser [article]

Jingyuan Hu, Prech Uapinyoying, Jeremy Goecks
2017 bioRxiv   pre-print
Through visualization, highlighting, clustering, and filtering of gene isoforms, ISB makes it simple to identify novel isoforms and novel isoform features such as exons, introns and untranslated regions  ...  Key features of the Iso-Seq Browser are: 1) an exon-only web-based interface with zooming and exon highlighting for exploring reference gene transcripts and novel gene isoforms, 2) automated grouping of  ...  Acknowledgements We thank Hiroki Morizono for his suggestions about how to improve the Iso-Seq Browser implementation.  ... 
doi:10.1101/102905 fatcat:dbr5fcqhx5hjzeatjj32zbtp7u

Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration [article]

Haoyu Li, Han-Wei Shen
2022 arXiv   pre-print
In this paper, we adopt Geometric Convolution, a neural network building block designed for 3D point clouds, to create latent representations for scientific particle data.  ...  Compared to conventional methods that use hand-crafted feature descriptors, some recent studies focus on transforming the data into a new latent space, where features are easier to be identified, compared  ...  ACKNOWLEDGMENTS This work is supported in part by the National Science Foundation Division of Information and Intelligent Systems-1955764, the National Science Foundation Office of Advanced Cyberinfrastructure  ... 
arXiv:2105.13240v2 fatcat:crmyeiinurd57h2ku7cu46f6ki

Volume composition and evaluation using eye-tracking data

Aidong Lu, Ross Maciejewski, David S. Ebert
2010 ACM Transactions on Applied Perception  
Our approach acquires the important/interesting regions of a dataset through simple user interaction with an eye tracker.  ...  A user study has been conducted to evaluate these rendering parameters, and while the parameter selections for a specific visualization result are subjective, our approach provides good preliminary results  ...  ACKNOWLEDGMENTS We would like to thank the editors and reviewers for their insightful comments.  ... 
doi:10.1145/1658349.1658353 fatcat:d3765xgpfrespknhc7vgftd7ou

Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data

Oliver Rübel, Sean Ahern, E. Wes Bethel, Mark D. Biggin, Hank Childs, Estelle Cormier-Michel, Angela DePace, Michael B. Eisen, Charless C. Fowlkes, Cameron G.R. Geddes, Hans Hagen, Bernd Hamann (+11 others)
2010 Procedia Computer Science  
Knowledge discovery from large and complex scientific data is a challenging task.  ...  With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective  ...  Acknowledgment The work concerning the analysis of 3D gene expression data was supported by the National Institutes of Health We thank the members of IDAV at UC Davis, the BDTNP and LOASIS at LBNL, the  ... 
doi:10.1016/j.procs.2010.04.197 pmid:23762211 pmcid:PMC3677775 fatcat:kohm7rkbtbbinecvfgtwyw6s5u

3D flow features visualization via fuzzy clustering

Huaxun Xu, Zhi-Quan Cheng, Ralph R. Martin, Sikun Li
2011 The Visual Computer  
A key approach to visualizing a flow field is to emphasize regions with significant behavior. However, it is difficult to give concrete criteria for classifying feature regions.  ...  Our approach can be readily modified with new fuzzy relationships describing other features of interest to users.  ...  We first use a fuzzy clustering method to pre-compute fuzzy membership of voxels to features of interest based on user-defined feature properties.  ... 
doi:10.1007/s00371-011-0577-8 fatcat:5ssjwjd3sjcplg7tcn32y7gbvq

Interactive selection of multivariate features in large spatiotemporal data

Jingyuan Wang, Robert Sisneros, Jian Huang
2013 2013 IEEE Pacific Visualization Symposium (PacificVis)  
Selecting meaningful features is central in the analysis of scientific data.  ...  Today's multivariate scientific datasets are often large and complex making it difficult to define general features of interest significant to scientific applications.  ...  We refer to this dataset as FNET. Previous Work The study of features in multivariate scientific data has been a central topic for visualization research.  ... 
doi:10.1109/pacificvis.2013.6596139 dblp:conf/apvis/WangSH13 fatcat:kszkamkbcnhc3jjpfz7ohopxpe

2C-ChIP: measuring chromatin immunoprecipitation signal from defined genomic regions with deep sequencing

Xue Qing David Wang, Christopher J. F. Cameron, Denis Paquette, Dana Segal, Reid Warsaba, Mathieu Blanchette, Josée Dostie
2019 BMC Genomics  
Conclusions: 2C-ChIP fills the need for a robust molecular biology tool designed to probe dedicated genomic regions in a high-throughput setting.  ...  This method combines ChIP with ligation-mediated amplification (LMA) and deep sequencing to probe large genomic regions of interest. 2C-ChIP recapitulates results from benchmark ChIP approaches.  ...  Acknowledgements We would like to thank members of our laboratories for meaningful discussion during the development of this methodology and for critical reading of this manuscript.  ... 
doi:10.1186/s12864-019-5532-5 fatcat:wyv2cxvvhnhmrhefuh34vc4guy

A Multisensor System For Ambient Intelligence Applications

Andrea Turolla, L. Marchesotti, C.S. Regazzoni
2004 Zenodo  
Publication in the conference proceedings of EUSIPCO, Viena, Austria, 2004  ...  ACKNOLEDGMENTS This work was partially supported by the University and Scientific Research Ministry (MIUR) of the Italian Government under the National Interest Scientific Research Program and by ELSAG  ...  In particular a data fusion approach has been shown to be performing both for integrating low level and high level data.  ... 
doi:10.5281/zenodo.38672 fatcat:x5nqpu2xvndhzhcr7isdfzxtae

Contrasting Climate Ensembles: A Model-based Visualization Approach for Analyzing Extreme Events

Robert Sisneros, Jian Huang, George Ostrouchov, Sean Ahern, B. David Semeraro
2013 Procedia Computer Science  
We apply this approach to the problem of highlighting variations in climate model ensembles.  ...  The foundation of our approach is to classify data points via inclusion in, or distance to, multivariate representations of relationships among a subset of the variables of a dataset.  ...  In our approach, the first pass (region specification) classifies the data into two regions that correspond to the northern and southern hemispheres.  ... 
doi:10.1016/j.procs.2013.05.406 fatcat:sliavwyauvh4pjneqfd2gmgvqi

Video shot detection and condensed representation. a review

C. Cotsaces, N. Nikolaidis, I. Pitas
2006 IEEE Signal Processing Magazine  
Such operations can serve as a first step for a number of different data access tasks, such as browsing, retrieval, genre classification, and event detection.  ...  This is due to the nature of video data, which is unsuitable for traditional forms of data access, indexing, search, and retrieval, which are either text based or based on the query-by-example paradigm  ...  Clustering is a typical method for highlight extraction, but the technical interest of the work lies in the refinement procedure of the clustering and the automatic determination of the optimal number  ... 
doi:10.1109/msp.2006.1621446 fatcat:piph23alz5hgbobvqgt3xfhgt4

Quasar: Easy Machine Learning for Biospectroscopy

Marko Toplak, Stuart T. Read, Christophe Sandt, Ferenc Borondics
2021 Cells  
Data volumes collected in many scientific fields have long exceeded the capacity of human comprehension.  ...  Here, we present case studies to highlight some Quasar features analyzing infrared spectroscopy data using various machine learning techniques.  ...  As a result, data analysis has become the bottleneck of scientific progress in many fields. We approach data processing in various ways.  ... 
doi:10.3390/cells10092300 pmid:34571947 pmcid:PMC8466383 fatcat:i4bzqyimsfbsdgex7ggf3z5bbq

muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations [chapter]

Paul Rosen, Brett Burton, Kristin Potter, Chris R. Johnson
2016 Mathematics and Visualization  
In addition to presenting a collection of visualization techniques, which individually highlight different aspects of the data, the coordinated view system forms a cohesive environment for exploring the  ...  The simulation uses a collection of conductivity values to understand how ischemic regions effect the undamaged anisotropic heart tissue.  ...  The interface allows users to select a paint color, brush over a region of interest, and see the resulting color change in both the feature and other domain visualizations.  ... 
doi:10.1007/978-3-319-24523-2_3 fatcat:pftiiuyxgveixmflrz4xbr6v5e
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