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A METHOD OF shape encoding AND RETRIEVAL

Journal of Electronics(China) 2002年第3期19卷 302-306页

作者： Huang Xianglin Song Lei Shen Lansun(Signal and Information Processing Lab, Beijing Polytechnic University, Beijing 100022) Signal and Information Processing Lab Beijing Polytechnic University Beijing

A method of shape encoding and retrieval is proposed in this letter, which uses centripetal code to encode shape and extracts shape's convex for retrieval. For the rotation invariance and translation invariance of the centripetal code and the normalization of convex,the proposed retrieval method is similarity transform resistant, Experimental results confirm this capability.

关键词： shape retrieval shape encoding Centripetal code Similarity transform QBE(Query By Example)

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Improving symbolic data visualization for pattern recognition and knowledge discovery

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Visual Informatics 2020年第1期4卷 23-31页

作者： Kadri Umbleja Manabu Ichino Hiroyuki Yaguchi School of Science and Engineering Tokyo Denki UniversityHatoyamaSaitama 350-0394Japan

This paper examines the visualization of symbolic data and considers the challenges rising from its complex *** data is usually aggregated from large data sets and used to hide entry specific details and to transform huge amounts of data(like big data)into analyzable *** is also used to offer an overview in places where general trends are more important than individual *** data comes in many forms like intervals,histograms,categories and modal multi-valued *** data can also be considered as a ***,the de facto visualization approach for symbolic data is zoomstars which has many *** biggest limitation is that the default distributions(histograms)are not supported in 2D as additional dimension is *** paper proposes several new improvements for zoomstars which would enable it to visualize histograms in 2D by using a quantile or an equivalent interval *** addition,several improvements for categorical and modal variables are proposed for a clearer indication of presented *** for different approaches to zoomstars are offered depending on the data type and the desired ***,an alternative approach that allows visualizing the whole data set in comprehensive table-like graph,called shape encoding,is *** visualizations and their usefulness are verified with three symbolic data sets in exploratory data mining phase to identify trends,similar objects and important features,detecting outliers and discrepancies in the data.

关键词： Data visualization Symbolic data Zoomstar shape encoding Exploratory data analysis

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