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Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom
2014
Computer graphics forum (Print)
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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
2008
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems - GIS '08
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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
2006
2006 IEEE Symposium On Visual Analytics And Technology
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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
2004
Computer Vision and Image Understanding
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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
2021
Journal of Information Processing Systems
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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
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2022
BioData Mining
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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
2013
Multimedia Systems
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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]
2021
arXiv
pre-print
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2022 accepted doi:10.1109/mdm55031.2022.00028 arXiv:2110.12521v2 fatcat:i65ehfsbpnbldfgvmb6wvnjnha
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]
2003
Studies in Classification, Data Analysis, and Knowledge Organization
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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
2004
Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.
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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
2019
ISPRS International Journal of Geo-Information
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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
2021
Proceedings of the National Academy of Sciences of the United States of America
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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
2008
IEEE Transactions on Knowledge and Data Engineering
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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
2018
Security and Communication Networks
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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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