A structural method for assessing self-similarity in plants
نویسندگان
چکیده
4th International Workshop on Functional-Structural Plant Models, 7-11 june 2004 –Montpellier, France Edited by C. Godin et al., pp. 56-60 A structural method for assessing self-similarity in plants Pascal Ferraro, Christophe Godin, Przemyslaw Prusinkiewicz LaBRI Université de Bordeaux 1 – France 2 INRIA, UMR Cirad-INRA-CNRS AMAP Montpellier France Department of Computer Science University Of Calgary Calgary, Canada
منابع مشابه
A novel method for detecting structural damage based on data-driven and similarity-based techniques under environmental and operational changes
The applications of time series modeling and statistical similarity methods to structural health monitoring (SHM) provide promising and capable approaches to structural damage detection. The main aim of this article is to propose an efficient univariate similarity method named as Kullback similarity (KS) for identifying the location of damage and estimating the level of damage severity. An impr...
متن کاملNearest Embedded and Embedding Self-Nested Trees
Self-nested trees present a systematic form of redundancy in their subtrees and thus achieve optimal compression rates by DAG compression. A method for quantifying the degree of self-similarity of plants through self-nested trees has been introduced by Godin and Ferraro in 2010. The procedure consists in computing a self-nested approximation, called the nearest embedding self-nested tree, that ...
متن کاملAssessing the role of self efficacy and social tendencies in green purchase intention and behaviour
The present study was carried out aimed to investigate the role of self efficacy and social tendencies in green purchase intention and behavior. This study is considered as an applied research in terms of purpose and descriptive-survey research in terms of data collection method. In this study, the statistical population includes all consumers of organic products supplied at Ofogh Koorosh chain...
متن کاملA computational method to analyze the similarity of biological sequences under uncertainty
In this paper, we propose a new method to analyze the difference and similarity of biological sequences, based on the fuzzy sets theory. Considering the sequence order and some chemical and structural properties, we present a computational method to cluster the biological sequences. By some examples, we show that the new method is relatively easy and we are able to compare the sequences of arbi...
متن کاملGraph Hybrid Summarization
One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...
متن کامل