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Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom

Michael Behrisch, James Davey, Fabian Fischer, Olivier Thonnard, Tobias Schreck, Daniel Keim, Jörn Kohlhammer
2014 Computer graphics forum (Print)  
A flexible semantic zoom mechanism enables users to navigate through sets of matrices and identify patterns at different levels of detail.  ...  A key advantage of this measure is that it can be interpreted and manipulated as a visual distance function, and serves as a comprehensible basis for ranking, clustering and comparison in sets of matrices  ...  Exploration and Analysis of Sets of Matrices Using Projection-Based Distance Our distance calculation technique is proposed as a basis for a range of applications.  ... 
doi:10.1111/cgf.12397 fatcat:ns3xgsy35rdcvmrpcl37tiwa5a

Sharing and exploring sensor streams over geocentric interfaces

Liqian Luo, Aman Kansal, Suman Nath, Feng Zhao
2008 Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems - GIS '08  
We enable interactive geocentric data exploration in the mapbased front-end using techniques for rapidly changing map overlaid visualizations of numerous data streams.  ...  In this paper, we present the architecture of SenseWeb, its techniques to enable global sharing of heterogeneous sensors, and its mapbased front-end for spatio-temporal data exploration.  ...  Prior work [17] suggests calculating the value of an unknown point as a weighted average of the known values, using a function of the distances between the unknown point and the known ones as the weights  ... 
doi:10.1145/1463434.1463439 dblp:conf/gis/LuoKNZ08 fatcat:vd2jmqd74nc2bc62h5quiytudi

Have Green ¿ A Visual Analytics Framework for Large Semantic Graphs

Pak Wong, George Chin, Harlan Foote, Patrick Mackey, Jim Thomas
2006 2006 IEEE Symposium On Visual Analytics And Technology  
In intelligence analysis, investigators use semantic graphs to organize concepts and relationships as graph nodes and links in hopes of discovering key trends, patterns, and insights.  ...  A semantic graph is a network of heterogeneous nodes and links annotated with a domain ontology.  ...  ACKNOWLEDGEMENTS This work has been sponsored in part by the National Visualization and Analytics Center TM (NVAC TM ) located at the Pacific Northwest National Laboratory in Richland, WA.  ... 
doi:10.1109/vast.2006.261432 dblp:conf/ieeevast/WongCFMT06 fatcat:y2secnaijzbzxgzk3fgunwtwga

Object of interest-based visual navigation, retrieval, and semantic content identification system

Khalid Idrissi, Guillaume Lavoué, Julien Ricard, Atilla Baskurt
2004 Computer Vision and Image Understanding  
So the user actively takes part in the indexing process (offline) and can use a selected OOI as a query for the retrieval system (online). The IMALBUM system proposes original functionalities.  ...  This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI).  ...  created from the basis functions projected on K planes of projections, the shape similarity distance between Q and I is achieved by computing a set of distances d ART ðQ; I j Þ.  ... 
doi:10.1016/j.cviu.2003.10.014 fatcat:xvi45xsqmrgc7e4zjeup7gmcie

SAT-Analyser Traceability Management Tool Support for DevOps

Iresha D. Rubasinghe, Dulani Meedeniya, Indika Perera
2021 Journal of Information Processing Systems  
The novel contribution of this work is the proposed traceability process model consists of artefact change detection, change impact analysis, and change propagation.  ...  This paper attempts to overcome those challenges by providing traceability support for heterogeneous artefacts in DevOps environments using a prototype named SAT-Analyser.  ...  Acknowledgement We acknowledge the support received from the Conference & Publishing Support (Senate Research Committee), University of Moratuwa, Sri Lanka in publishing this paper.  ... 
doi:10.3745/jips.04.0225 dblp:journals/jips/RubasingheMP21 fatcat:lda6tyzfrvhbngtyjg5rsuynm4

Documentation, Multi-scale and Multi-dimensional Representation of Cultural Heritage for the Policies of Redevelopment, Development and Regeneration

A. De Masi
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In particular, such project is based on open source smart systems, and conceptualizes a personalized and contextualized exploration of the Cultural Heritage through an experiential analysis of the territory  ...  In addition, affords an overview of the actual optical 3D measurements sensors and techniques used for surveying, mapping, digital documentation and 3D modeling applications in the Cultural Heritage field  ...  In particular, such project is based on open source smart systems, and conceptualizes a personalized and contextualized exploration of the CH through an experiential analysis of the territory.  ... 
doi:10.5194/isprsarchives-xl-5-w7-503-2015 fatcat:5c5y2zjulbd3laheuplp7ydppe

DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets

Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri, Julie Bourbeillon
2022 BioData Mining  
Conclusions The introduction of our new semantic distance and of the archetype concept allowed us to build a comprehensive representation of an incomplete dataset characterised by a large proportion of  ...  In order to get a first insight into these datasets and reduce the data matrices size scientists often rely on multivariate analysis techniques.  ...  the FloRHiGe project and the Pome Fruits and Roses BRC (Angers -Beaucouzé, France).  ... 
doi:10.1186/s13040-022-00293-y pmid:35379292 pmcid:PMC8981856 fatcat:xlg5pynydjfyhdeiaav2b2vy4e

Miniature illustrations retrieval and innovative interaction for digital illuminated manuscripts

Daniele Borghesani, Costantino Grana, Rita Cucchiara
2013 Multimedia Systems  
This is obtained by means of a remapping strategy (from the Riemannian space where covariance matrices lie, referring back to Euclidean space) useful to boost the retrieval performance.  ...  We leveraged on the joint exploitation of content based image retrieval and relevance feedback to provide an effective mechanism to navigate through the manuscript and add custom knowledge in the form  ...  The details of the page can be observed using the zoom functionality (Fig.8c) .  ... 
doi:10.1007/s00530-013-0315-3 fatcat:e3z6u2wl4vdkphouijtzzrj7wq

Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision [article]

Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2021 arXiv   pre-print
embeddings are semantically meaningful representations and result in 4-23% gain in performance, while using upto 67% less trajectory data, as measured using area under the precision-recall curve (AUPRC  ...  Reachability embeddings transform sequential, spatiotemporal mobility data into semantically meaningful image-like representations that can be combined with other sources of imagery and are designed to  ...  A visual demonstration of the semantics captured by reachability embeddings is shown by the UMAP projection of embeddings computed in a large geographical area in Figure 4a .  ... 
arXiv:2110.12521v1 fatcat:zudpdi3kpfgafeubxpsshvauqa

Integration of Cluster Analysis and Visualization Techniques for Visual Data Analysis [chapter]

M. Kreuseler, T. Nocke, H. Schumann
2003 Studies in Classification, Data Analysis, and Knowledge Organization  
This Paper investigates the combination of numerical and visual exploration techniques focused on cluster analysis of multi-dimensional data.  ...  We describe our new developed visualization approaches and selected clustering techniques along with major concepts of the integration and parameterization of these methods.  ...  Furthermore correlations and (joint) information content can be used to extract sets of variables with valuable common information for a detailed visual analysis.  ... 
doi:10.1007/978-3-642-55721-7_14 fatcat:6xh7fxxxyre4jccsyngqnjvhp4

Integrating brain data spatially: spatial data infrastructure and atlas environment for online federation and analysis of brain images

I. Zaslavsky, H. He, J. Tran, M.E. Martone, A. Gupta
2004 Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.  
users to discover, access, visualize and query heterogeneous images and image markup.  ...  For a comprehensive picture of brain morphology and function, it is important to discover and bring together various images, segmentations and markup, generated within different projects, and juxtapose  ...  Acknowledgements The work is supported by NIH grants from NCRR RR04050 and NIDA DA016602 through the Human Brain Project, and NSF grants supporting NPACI NSF-ASC 97-5249 and MCB-9728338.  ... 
doi:10.1109/dexa.2004.1333505 dblp:conf/dexaw/ZaslavskyHTMG04 fatcat:onobfm3eencibdo7zquijue4dy

Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review

Jing He, Haonan Chen, Yijin Chen, Xinming Tang, Yebin Zou
2019 ISPRS International Journal of Geo-Information  
study the spatiotemporal conditions of the entire trajectory set and microscopically analyze the individual movement of each trajectory; such methods are widely used in screen display and flat mapping  ...  Traditional visualization methods, which are represented by contour maps, shading maps and hypsometric maps, are mainly based on the spatiotemporal information of trajectories, which can macroscopically  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8020063 fatcat:fjd5jjfrhncfpowutovxxiyhpe

Three-dimensional virtual histology of the human hippocampus based on phase-contrast computed tomography

Marina Eckermann, Bernhard Schmitzer, Franziska van der Meer, Jonas Franz, Ove Hansen, Christine Stadelmann, Tim Salditt
2021 Proceedings of the National Academy of Sciences of the United States of America  
Tissue samples of 20 individuals were scanned and evaluated using a highly automated approach of measurement and analysis, combining multiscale recordings, optimized phase retrieval, segmentation by machine  ...  well as an increase in the electron density and its spatial heterogeneity.  ...  A natural metric on the set of Gaussian distributions is obtained by combining the Bures metric (28) on the covariance matrices with the Euclidean distance on the mean values.  ... 
doi:10.1073/pnas.2113835118 pmid:34819378 pmcid:PMC8640721 fatcat:jmmpgvpbv5gevdtxp5c6cfzab4

Learning a Maximum Margin Subspace for Image Retrieval

Xiaofei He, Deng Cai, Jiawei Han
2008 IEEE Transactions on Knowledge and Data Engineering  
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts.  ...  Different from traditional dimensionality reduction algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), which effectively see only the global euclidean structure  ...  Experimental Design The image database that we used consists of 7,900 images of 79 semantic categories from the COREL data set. It is a large and heterogeneous image set.  ... 
doi:10.1109/tkde.2007.190692 fatcat:oww5plsk6nbyxikh2a3k2fd5fy

Use of Data Visualisation for Zero-Day Malware Detection

Sitalakshmi Venkatraman, Mamoun Alazab
2018 Security and Communication Networks  
Our approach uses hybrid models wherein static and dynamic malware analysis techniques are combined effectively along with visualisation of similarity matrices in order to detect and classify zero-day  ...  Effective analysis methods are needed to match with the scale and complexity of such a data-intensive environment.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2018/1728303 fatcat:fct3to3a6rc2hhlcswdu7kx3dy
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