Search results for "Component analysis"

showing 10 items of 562 documents

Evolutionary morphology in shape and size of haptoral anchors in 14 Ligophorus spp. (Monogenea: Dactylogyridae).

2017

The search for phylogenetic signal in morphological traits using geometric morphometrics represents a powerful approach to estimate the relative weights of convergence and shared evolutionary history in shaping organismal form. We assessed phylogenetic signal in the form of ventral and dorsal haptoral anchors of 14 species of Ligophorus occurring on grey mullets (Osteichthyes: Mugilidae) from the Mediterranean, the Black Sea and the Sea of Azov. The phylogenetic relationships among these species were mapped onto the morphospaces of shape and size of dorsal and ventral anchors and two different tests were applied to establish whether the spatial positions in the morphospace were dictated by …

Gills0106 biological sciences0301 basic medicinelcsh:MedicineMorphology (biology)Animal Phylogenetics01 natural sciencesEcologia marinaMathematical and Statistical Techniqueslcsh:SciencePhylogenyData ManagementPrincipal Component AnalysisMultidisciplinarybiologyPhylogenetic treePhylogenetic AnalysisPeixosBiological EvolutionSmegmamorphaPhylogeneticsPhenotypePhysical SciencesStatistics (Mathematics)MonogeneaResearch ArticleComputer and Information SciencesEvolutionary ProcessesParàsitsImaging TechniquesZoologyResearch and Analysis Methods010603 evolutionary biologyHost SpecificityHost-Parasite Interactions03 medical and health sciencesSpecies SpecificityPhylogeneticsAnimalsEvolutionary SystematicsParasite EvolutionStatistical MethodsTaxonomyMorphometricsEvolutionary BiologyEvolutionary Developmental BiologyMorphometrylcsh:RBiology and Life Sciencesbiology.organism_classificationDactylogyridae030104 developmental biologyPlatyhelminthsMultivariate AnalysisEvolutionary developmental biologyParasitologylcsh:QAllometryZoologyMathematicsDevelopmental BiologyPLoS ONE
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Semisupervised nonlinear feature extraction for image classification

2012

Feature extraction is of paramount importance for an accurate classification of remote sensing images. Techniques based on data transformations are widely used in this context. However, linear feature extraction algorithms, such as the principal component analysis and partial least squares, can address this problem in a suboptimal way because the data relations are often nonlinear. Kernel methods may alleviate this problem only when the structure of the data manifold is properly captured. However, this is difficult to achieve when small-size training sets are available. In these cases, exploiting the information contained in unlabeled samples together with the available training data can si…

Graph kernelComputer scienceFeature extractioncomputer.software_genreKernel principal component analysisk-nearest neighbors algorithmKernel (linear algebra)Polynomial kernelPartial least squares regressionLeast squares support vector machineCluster analysisTraining setContextual image classificationbusiness.industryDimensionality reductionPattern recognitionManifoldKernel methodKernel embedding of distributionsKernel (statistics)Principal component analysisRadial basis function kernelPrincipal component regressionData miningArtificial intelligencebusinesscomputer2012 IEEE International Geoscience and Remote Sensing Symposium
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Robust Principal Component Analysis of Data with Missing Values

2015

Principal component analysis is one of the most popular machine learning and data mining techniques. Having its origins in statistics, principal component analysis is used in numerous applications. However, there seems to be not much systematic testing and assessment of principal component analysis for cases with erroneous and incomplete data. The purpose of this article is to propose multiple robust approaches for carrying out principal component analysis and, especially, to estimate the relative importances of the principal components to explain the data variability. Computational experiments are first focused on carefully designed simulated tests where the ground truth is known and can b…

Ground truthPCAComputer scienceRobust statisticsMissing datacomputer.software_genreSet (abstract data type)missing dataMultiple correspondence analysisrobust statisticsPrincipal component analysisData miningcomputerRobust principal component analysis
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Neolithic mitochondrial haplogroup H genomes and the genetic origins of Europeans

2013

Brotherton, Paul et al.-- The Genographic Consortium

Haplogroup L4aHaplogroup MHaplogroup NTime FactorsHaplogroup HMolecular Sequence DataGeneral Physics and AstronomyADN mitocondrialBiologyGenoma humàGeneral Biochemistry Genetics and Molecular BiologyWhite PeopleArticleEvolution MolecularFilogèniaNeolíticHumansHaplogroup D-M15EuropeusPhylogenyDemographyGeneticsPrincipal Component AnalysisMultidisciplinaryBase SequenceGenome HumanGeneral ChemistryHaplogroup L3Sequence Analysis DNAHaplogroup IJHaplotipGenetics PopulationHaplotypesEvolutionary biologyGenome MitochondrialHuman mitochondrial DNA haplogroupNature Communications
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Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

2021

[EN] The main cause of flesh browning in 'Rojo Brillante' persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the packing lines are necessary because this type of alteration is often only seen when the final consumer peels the fruit. In this work, we have studied the application of hyperspectral imaging in the range of 450-1040 nm to detect mechanical damage without any external symptoms. The fruit was damaged in a controlled manner. Later, images were acquired before and at 0, 1, 2 and 3 days after damage induction. First, the spectral data captured from the images were analysed through…

Health (social science)N01 Agricultural engineeringEXPRESION GRAFICA EN LA INGENIERIANondestructivePlant ScienceTP1-1185BiologyHealth Professions (miscellaneous)MicrobiologyArticlecomputer visionChemometricsBrowningChemometricsH20 Plant diseasesDiospyros kakiSpectral databrowningFruit qualityChemical technologyfruit qualityDiospyros kakiHyperspectral imagingfood and beverageschemometricsQ01 Food science and technologynondestructiveQ02 Food processing and preservationHorticulturePrincipal component analysisH50 Miscellaneous plant disordersComputer visionBrowning<i>Diospyros kaki</i>Food Science
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Land Snails as a Valuable Source of Fatty Acids: A Multivariate Statistical Approach

2019

The fatty acid (FA) profile of wild Theba pisana, Cornu aspersum, and Eobania vermiculata land snail samples, collected in Sicily (Southern Italy), before and after heat treatment at +100 °C were examined by gas chromatography with a flame ionization detector (GC-FID). The results show a higher content of polyunsaturated fatty acids (PUFAs) in all of the examined raw snails samples, representing up to 48.10% of the total fatty acids contents, followed by monounsaturated fatty acids (MUFAs). The thermal processing of the snail samples examined determined an overall reduction of PUFA levels (8.13%, 7.75%, and 4.62% for T. pisana, C. aspersum and E. vermiculata samples, respectively) and a spe…

Health (social science)principal component analysis030309 nutrition & dieteticsTheba pisanaPlant Sciencefatty acidsHealth Professions (miscellaneous)MicrobiologyArticle03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologyland snailsfatty acids; land snails; GC‐FID; heat processing; principal component analysisparasitic diseasesFood sciencechemistry.chemical_classification0303 health sciencesheat processingbiologyChemistryland snailLand snailFatty acidFatty acids GC-FID Heat processing Land snails Principal component analysis04 agricultural and veterinary sciencesbiology.organism_classification040401 food scienceOleic acidSaturated fatty acidfatty acidGC-FIDCornu aspersumEobania vermiculataFood SciencePolyunsaturated fatty acidfatty acids; land snails; GC-FID; heat processing; principal component analysisFoods; Volume 8; Issue 12; Pages: 676
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Remote Photoplethysmography measurement using constrained ICA

2017

Remote Photoplethysmography (rPPG) is a technique that consists in estimating physiological parameters such as heart rate from live or recorded video sequences taken by conventional camera or even webcams. This technique is increasingly used in many application fields thanks to its simplicity and affordability. The basic idea is that the arterial blood flow shows regularity due to the heartbeat. This regularity is manifested by very small periodic variations in the color of the skin, which can be isolated and quantified by signal and image processing methods. In this context, Independent Component Analysis (ICA) is largely used to separate the signal due to arterial flow from signals from o…

Heartbeatbusiness.industry0206 medical engineeringAutocorrelation[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Image processingContext (language use)02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineering01 natural sciencesIndependent component analysisSignal010309 optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)0103 physical sciencesA priori and a posterioriComputer visionArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSMathematics2017 E-Health and Bioengineering Conference (EHB)
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A more distinctive representation for 3D shape descriptors using principal component analysis

2015

Many researchers have used the Heat Kernel Signature (or HKS) for characterizing points on non-rigid three-dimensional shapes and Classical Multidimensional Scaling (Classical MDS) method in object classification which we quote, in particular, the example of Jian Sun et al. (2009) [1]. However, in this paper, the main focuses on classification that we propose a concise and provably factorial method by invoking Principal Component Analysis (PCA) as a classifier to improve the scheme of 3D shape classification. To avoid losing or disordering information after extracting features from the mesh, PCA is used instead of the Classical MDS to discriminate-as much as possible-feature points for each…

Heat kernel signaturebusiness.industryPrincipal component analysisJianPattern recognitionMultidimensional scalingArtificial intelligencePrincipal geodesic analysisbusinessClassifier (UML)Kernel principal component analysisShape analysis (digital geometry)Mathematics2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)
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A comparative analysis of genetic variation in rootstocks and scions of old olive trees – a window into the history of olive cultivation practices an…

2014

Background Past clonal propagation of olive trees is intimately linked to grafting. However, evidence on grafting in ancient trees is scarce, and not much is known about the source of plant material used for rootstocks. Here, the Simple Sequence Repeat (SSR) marker technique was used to study genetic diversity of rootstocks and scions in ancient olive trees from the Levant and its implications for past cultivation of olives. Leaf samples were collected from tree canopies (scions) and shoots growing from the trunk base (suckers). A total of 310 trees were sampled in 32 groves and analyzed with 14 SSR markers. Results In 82.7% of the trees in which both scion and suckers could be genotyped, t…

HeterozygotePlant ScienceBiologyPlant RootsTreesDomesticationOleaparasitic diseasesGenetic variationBotanySuckerCultivarIsraelMicrosatellitesPropagationAllelesPhylogenyPrincipal Component AnalysisGenetic diversityGraftingGeographyGenetic VariationOlive treesGenetic distanceGenetic LociGenetic markerOlive cultivarsRootstockPlant ShootsResearch ArticleMicrosatellite RepeatsBMC Plant Biology
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Ancient human genomes suggest three ancestral populations for present-day Europeans

2014

We sequenced the genomes of a ∼7,000-year-old farmer from Germany and eight ∼8,000-year-old hunter-gatherers from Luxembourg and Sweden. We analysed these and other ancient genomes1,2,3,4 with 2,345 contemporary humans to show that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, who contributed ancestry to all Europeans but not to Near Easterners; ancient north Eurasians related to Upper Palaeolithic Siberians3, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunter-gatherer related ancestry. We model these popula…

HistoryNeanderthalBiologíaPopulation DynamicsPresent dayGenoma humàGenome//purl.org/becyt/ford/1 [https]Basal (phylogenetics)Settore BIO/13 - Biologia ApplicataHistory AncientGeneticsPrincipal Component Analysiseducation.field_of_study0303 health sciencesGenomeMultidisciplinaryAncient DNA030305 genetics & heredityfood and beveragesAgricultureGenomics3. Good healthEuropeWorkforceCIENCIAS NATURALES Y EXACTASHumanArchaeogeneticsAsiaLineage (genetic)EUROPEOtras Ciencias BiológicasEuropean Continental Ancestry GroupPopulationSettore BIO/08 - ANTROPOLOGIAevolution; EuropeansGenomicsBiologyArticleWhite PeopleAncientGenètica de poblacions humanesHuman originsCiencias Biológicas03 medical and health sciencesHUMAN ORIGINSbiology.animalHumansANCIENT DNA//purl.org/becyt/ford/1.6 [https]educationQuantitative Biology - Populations and EvolutionDenisovan030304 developmental biologyGenetic diversityancient DNA modern DNA Europeans prehistoryGenome HumanPopulations and Evolution (q-bio.PE)biology.organism_classificationAncient DNAEvolutionary biologyFOS: Biological sciencesUpper PaleolithicHuman genomeGENOMICS
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