Search results for "Dissimilarity measures"

showing 2 items of 2 documents

Comparing pollen spectra from modified Tauber traps and moss samples: examples from a selection of woodlands across Europe

2010

This paper compares pollen spectra derived from modified Tauber traps and moss samples from a selection of woodland types from Bulgaria, the Czech Republic, Georgia, Greece, Poland, Switzerland and Wales. The study examines the representation of individual taxa in the two sampling media and aims to ascertain the duration of pollen deposition captured by a moss. The latter aim was pursued through the calculation of dissimilarity indexes to assess how many years of pollen deposited in a pollen trap yield percentage values that are most similar to those obtained from the moss. The results are broadly scattered; the majority of moss samples being most similar to several years of pollen depositi…

0106 biological sciences010506 paleontologyArcheologyWoodlandPlant ScienceBiostratigraphy580 Plants (Botany)medicine.disease_causeMoss sample; Modified Tauber trap; Surface pollen deposition; Collecting efficiency; Representation of tree taxa; Dissimilarity measures010603 evolutionary biology01 natural sciencesPollenBotanymedicineHolocene0105 earth and related environmental sciencesbiologyPalaeontologyPaleontologySediment15. Life on landbiology.organism_classificationMossDeposition (aerosol physics)Environmental scienceWoody plant
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Shape matching, shape retrieval

2016

This thesis concerns shape matching and shape retrieval. It describes four contributions to thisdomain. The first is an improvement of the k-means method, in order to find the best partition ofvoxels inside a given shape ; these best partitions permit to match shapes using an optimal matchingin a bipartite graph. The second contribution is the fusion of two descriptors, one local, the otherglobal, with the product rule. The third contribution considers the complete graph, the vertices ofwhich are the shapes in the database and the query. Edges are labelled with several distances,one per descriptor. Then the method computes, with linear programming, the convex combinationof distances which m…

Recherche par forme clef[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Dissimilarity measuresShape descriptorsAppariement de formes[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Shape matchingShape retrievalDescripteurs de formes[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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