Search results for "Graph based"

showing 4 items of 4 documents

Graph-based characterisations of cell types and functionally related modules in promoter capture Hi-C Data

2019

Cell typeComputer scienceGraph basedComputational biology
researchProduct

Graph-based analysis of ethylene glycol decomposition on a palladium cluster

2017

The ethylene glycol, CH2OH-CH2OH, decomposition mechanism, occurring on a subnanometric palladium cluster shaped by 12 atoms, was investigated by means of density functional theory. Different reaction routes were identified leading to H2 and CO. The whole reaction network was analyzed, framing the results within the graph theory. The possible decomposition pathways were discussed and compared, allowing one to draw a whole picture of all the parallel, possibly competitive, routes that starting from CH2OH-CH2OH originate H2 and CO.

Electronic Optical and Magnetic MaterialGraph basedSurfaces Coatings and Filmchemistry.chemical_elementGraph theory02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialschemistry.chemical_compoundEnergy (all)General EnergychemistryComputational chemistryOrganic chemistryDensity functional theoryPhysical and Theoretical Chemistry0210 nano-technologyEthylene glycolPalladium
researchProduct

Contribution à l’apprentissage de représentation de données à base de graphes avec application à la catégorisation d’images

2020

Graph-based Manifold Learning algorithms are regarded as a powerful technique for feature extraction and dimensionality reduction in Pattern Recogniton, Computer Vision and Machine Learning fields. These algorithms utilize sample information contained in the item-item similarity and weighted matrix to reveal the intrinstic geometric structure of manifold. It exhibits the low dimensional structure in the high dimensional data. This motivates me to develop Graph-based Manifold Learning techniques on Pattern Recognition, specially, application to image categorization. The experimental datasets of thesis correspond to several categories of public image datasets such as face datasets, indoor and…

Représentation de données à base de graphesSemi supervised LearningReconnaissance de formesComputer Vision[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Manifold LearningPattern Recognition[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Machine LearningGraph based EmbeddingVision par ordinateurApprentissage de représentation de donnéesinformaticsApprentissage semi superviséinformáticaApprentissage machine
researchProduct

A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study

2013

Target volume delineation of Positron Emission Tomography (PET) images in radiation treatment planning is challenging because of the low spatial resolution and high noise level in PET data. The aim of this work is the devel- opment of an accurate and fast method for semi-automatic segmentation of me- tabolic regions on PET images. For this purpose, an algorithm for the biological tumor volume delineation based on random walks on graphs has been used. Va- lidation was first performed on phantoms containing spheres and irregular in- serts of different and known volumes, then tumors from a patient with head and neck cancer were segmented to discuss the clinical applicability of this algo- rith…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testRadiotherapybusiness.industryComputer sciencemedicine.medical_treatmentGraph basedHead and Neck cancerImage segmentationGraphGraphRadiation therapySegmentationPETPositron emission tomographymedicineSegmentationComputer visionSegmentation Graph PET Head and Neck cancer RadiotherapyArtificial intelligenceRadiation treatment planningbusinessImage resolution
researchProduct