Détection de motifs disruptifs au sein de plantes : une approche de quotientement/classification d'arborescences

Pierre Fernique 1, 2 Jean-Baptiste Durand 3 Yann Guédon 2, 1
1 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales
Abstract : Multiple change-point models for path-indexed data are transposed to tree-indexed data. The objective of multiple change-point models is to partition a heterogeneous tree into homogeneous subtrees. Since optimal algorithms for segmenting sequences cannot be transposed to trees, we propose here an efficient heuristic for tree segmentation. Segmented subtrees are grouped together in a post-processing phase since similar disjoint patches are often observed in tree canopy. Application of such models is illustrated on mango tree where subtrees are assimilated to plant patches and clusters of patches to patch types (e.g. vegetative, flowering or resting patch).
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Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Détection de motifs disruptifs au sein de plantes : une approche de quotientement/classification d'arborescences. 47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01240305⟩

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