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Titlebook: Advances in Visual Informatics; 4th International Vi Halimah Badioze Zaman,Peter Robinson,Nazlena Moham Conference proceedings 2015 Springe

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楼主: 威风
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Conference proceedings 2015laysia, in November 2015..The five keynotes and 45 papers presented were carefully reviewed and selected from 82 initial submissions. The papers are organized in four tracks on visualization and big data; machine learning and computer vision; computer graphics; as well as virtual reality..
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Visualisation of Trend Pattern Migrations in Social Networkssualisation (PMIV) framework which is designed to operate using trend clusters which have been extracted from big network data using a Self Organising Map technique. The PMIV is also aimed to detect changes in the characteristics of trend clusters and the existence of communities of trend clusters.
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A Comparative Study of Computer Aided System Preoperative Planning for High Tibial Osteotomye, automatic measurement, and visualize correction. The results obtained from the comparative analysis are expected to aid in development innovative software for preoperative osteotomy planning, based on the strengths of each software discussed.
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Constitutional Futures Revisited20Newsgroups and Reuter’s news collection. Results indicate that the aFA. generates a more robust and compact clusters than the ones produced by Bisect K-means and practical General Stochastic Clustering Method (pGSCM).
发表于 2025-3-29 12:00:51 | 显示全部楼层
Charles M. Lamb,Jacob R. Neiheiselid tracking technique. For visual tracking, the best keypoint detector and descriptors are analyzed. Careful selection of these visual tracking elements during the analysis stage helps in achieving much efficient and robust markerless augmented reality tracking results on a modern day smartphone.
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Determining Number of Clusters Using Firefly Algorithm with Cluster Merging for Text Clustering20Newsgroups and Reuter’s news collection. Results indicate that the aFA. generates a more robust and compact clusters than the ones produced by Bisect K-means and practical General Stochastic Clustering Method (pGSCM).
发表于 2025-3-30 02:51:55 | 显示全部楼层
Developmental Analysis of a Markerless Hybrid Tracking Technique for Mobile Augmented Reality Systemid tracking technique. For visual tracking, the best keypoint detector and descriptors are analyzed. Careful selection of these visual tracking elements during the analysis stage helps in achieving much efficient and robust markerless augmented reality tracking results on a modern day smartphone.
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