Search results for "Pattern"

showing 10 items of 4203 documents

Texture analysis with statistical methods for wheat ear extraction

2007

In agronomic domain, the simplification of crop counting, necessary for yield prediction and agronomic studies, is an important project for technical institutes such as Arvalis. Although the main objective of our global project is to conceive a mobile robot for natural image acquisition directly in a field, Arvalis has proposed us first to detect by image processing the number of wheat ears in images before to count them, which will allow to obtain the first component of the yield. In this paper we compare different texture image segmentation techniques based on feature extraction by first and higher order statistical methods which have been applied on our images. The extracted features are…

Transform theoryComputer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionMobile robotImage processingImage segmentationField (computer science)Image (mathematics)Component (UML)Computer visionArtificial intelligencebusinessEighth International Conference on Quality Control by Artificial Vision
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Transverse instability of periodic and generalized solitary waves for a fifth-order KP model

2017

We consider a fifth-order Kadomtsev-Petviashvili equation which arises as a two-dimensional model in the classical water-wave problem. This equation possesses a family of generalized line solitary waves which decay exponentially to periodic waves at infinity. We prove that these solitary waves are transversely spectrally unstable and that this instability is induced by the transverse instability of the periodic tails. We rely upon a detailed spectral analysis of some suitably chosen linear operators.

Transverse instabilitymedia_common.quotation_subjectFOS: Physical sciences35Q53 (Primary) 76B15 76B25 35B35 35P15 (Secondary)Pattern Formation and Solitons (nlin.PS)01 natural sciencesInstabilityMathematics - Analysis of PDEsgeneralized solitary wavesdispersive equationsFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Spectral analysistransverse stability0101 mathematicsperiodic wavesNonlinear Sciences::Pattern Formation and SolitonsMathematical Physicsmedia_commonPhysicsApplied Mathematics010102 general mathematicsMathematical analysisOrder (ring theory)Mathematical Physics (math-ph)InfinityNonlinear Sciences - Pattern Formation and Solitons010101 applied mathematicsClassical mechanicsNonlinear Sciences::Exactly Solvable and Integrable SystemsLine (geometry)Mechanical waveAnalysisLongitudinal waveAnalysis of PDEs (math.AP)
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Normal and Abnormal Tissue Classification in Positron Emission Tomography Oncological Studies

2018

Positron Emission Tomography (PET) imaging is increasingly used in radiotherapy environment as well as for staging and assessing treatment response. The ability to classify PET tissues, as normal versus abnormal tissues, is crucial for medical analysis and interpretation. For this reason, a system for classifying PET area is implemented and validated. The proposed classification is carried out using k-nearest neighbor (KNN) method with the stratified K-Fold Cross-Validation strategy to enhance the classifier reliability. A dataset of eighty oncological patients are collected for system training and validation. For every patient, lesion (abnormal tissue) and background (normal tissue around …

Treatment responsepositron emission tomographyK-nearest neighborKernel support vector machineComputer scienceNormal tissueK-Fold cross-validation030218 nuclear medicine & medical imagingk-nearest neighbors algorithmLesion03 medical and health sciences0302 clinical medicinetissue classificationmedicineRadiation treatment planningFuzzy C-Mean1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryPattern recognitionComputer Graphics and Computer-Aided DesignPredictive valueSupport vector machineFuzzy C-MeansPositron emission tomography030220 oncology & carcinogenesisComputer Vision and Pattern RecognitionArtificial intelligencemedicine.symptombusinessPattern Recognition and Image Analysis
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The genus Troglophilus Krauss, 1879 (Orthoptera: Rhaphidophoridae) in the west Balkans

2011

We present a revision of the genus Troglophilus in the western part of the Balkan Peninsula based on morphological and genetic analysis, and provide distribution data for the species. The results of these analyses reduced the number of the known taxa within the genus Troglophilus in this area to five valid species: Troglophilus cavicola (Kollar, 1833), Troglophilus neglectusKrauss, 1879, Troglophilus ovuliformisKarny, 1907, Troglophilus brevicauda Chopard, 1934, and Troglophilus lazaropolensis Karaman, 1958. A new species Troglophilus zorae sp. nov. is described and Troglophilus neglectus serbicus Maran, 1958, Troglophilus neglectus vlasinensis Maran, 1958, Troglophilus bukoviki Karaman, 19…

TroglophilusOrthopteraEcologyZoologyBiologybiology.organism_classificationTaxonTroglophilus neglectusBalkan peninsulaGenusDistribution patternAnimal Science and ZoologyEcology Evolution Behavior and SystematicsRhaphidophoridaeZoological Journal of the Linnean Society
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Profiling Major Sport Event Visitors: The 2002 Commonwealth Games

2007

It has become common practice for governments and municipalities around the world to bid for the right to host a major sporting event. Prior to embarking on the bidding process, politicians attempt to determine whether such an event will be of value to their municipality; and often focus on the estimated economic consequences of hosting such an event. Frequently, studies are commissioned to predict the event's economic value. However, these studies often miscalculate the potential impact of sport event visitors as consumers. We argue that enhanced profiling of these visitors will enable a more accurate assessment of economic impact. The current research surveys 1,196 spectators of the 2002 …

TypologyTourism Leisure and Hospitality ManagementVisitor patternEconomic evaluationCommonwealthAdvertisingBusinessEconomic impact analysisBiddingMarketingTourismConsumer behaviourJournal of Sport & Tourism
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Beyond the lithics: Mesolithic people in Europe

1998

En la sesión se tratan temas de actualidad sobre la investigación más reciente del Mesolítico europeo. The session addresses current issues on the most recent investigation of the European Mesolithic.

UNESCO::HISTORIA:HISTORIA [UNESCO]mesolithicsettlement pattern
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Remarks on the environmental adaptation of man.

1971

In this paper the geographical variability of some morphological, physiological and serological traits of man is discussed with respect to the question, how far this variability can be considered as the result of selective adaptation processes. Though there is already some evidence supporting such an assumption, much more detailed and exactly planned research is necessary to clear the indubitable relations between the distribution patterns of anthropological traits and the various environmental conditions of human biotops. Particularly much more work is required to understand the causative mechanisms on which these relations are based.

Ultraviolet RaysClimateGenetics MedicalAdaptation BiologicalBiologyEnvironmentWhite PeopleABO Blood-Group SystemPeruGeneticsHumansMetabolic diseaseSelection GeneticGenetics (clinical)SkinAnthropometryEcologyGeographyEcologyPigmentationAltitudeIndians South AmericanBody WeightEnvironmental adaptationAdaptation PhysiologicalBody HeightEpistemologyEuropeGenetics PopulationDistribution patternBlood Group AntigensAdaptationHumangenetik
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ERP denoising in multichannel EEG data using contrasts between signal and noise subspaces

2009

Abstract In this paper, a new method intended for ERP denoising in multichannel EEG data is discussed. The denoising is done by separating ERP/noise subspaces in multidimensional EEG data by a linear transformation and the following dimension reduction by ignoring noise components during inverse transformation. The separation matrix is found based on the assumption that ERP sources are deterministic for all repetitions of the same type of stimulus within the experiment, while the other noise sources do not obey the determinancy property. A detailed derivation of the technique is given together with the analysis of the results of its application to a real high-density EEG data set. The inter…

Underdetermined systemNoise reductionInverseElectroencephalographyDyslexiaEvent-related potentialmedicineHumansChildEvoked PotentialsMathematicsLanguage Testsmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceDimensionality reductionBrainElectroencephalographySignal Processing Computer-AssistedPattern recognitionLinear subspaceLinear mapAcoustic StimulationData Interpretation StatisticalLinear ModelsSpeech PerceptionArtificial intelligenceArtifactsbusinessAlgorithmsSoftwareJournal of Neuroscience Methods
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Complex-Valued Independent Component Analysis of Natural Images

2011

Linear independent component analysis (ICA) learns simple cell receptive fields fromnatural images. Here,we showthat linear complex-valued ICA learns complex cell properties from Fourier-transformed natural images, i.e. two Gabor-like filters with quadrature-phase relationship. Conventional methods for complex-valued ICA assume that the phases of the output signals have uniform distribution. We show here that for natural images the phase distributions are, however, often far from uniform. We thus relax the uniformity assumption and model also the phase of the sources in complex-valued ICA. Compared to the original complex ICA model, the new model provides a better fit to the data, and leads…

Uniform distribution (continuous)business.industryPhase (waves)Pattern recognitionSimple cellComplex cellIndependent component analysismedicine.anatomical_structureComponent analysisComputer Science::SoundReceptive fieldmedicineArtificial intelligenceLinear independencebusinessMathematics
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“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

2013

This paper submits a comprehensive report of the use of order statistics (OS) for parametric pattern recognition (PR) for various distributions within the exponential family. Although the field of parametric PR has been thoroughly studied for over five decades, the use of the OS of the distributions to achieve this has not been reported. The pioneering work on using OS for classification was presented earlier for the uniform distribution and for some members of the exponential family, where it was shown that optimal PR can be achieved in a counter-intuitive manner, diametrically opposed to the Bayesian paradigm, i.e., by comparing the testing sample to a few samples distant from the mean. A…

Uniform distribution (continuous)classification by moments of order statisticsBayesian probabilityOrder statisticNonparametric statisticsVDP::Technology: 500::Information and communication technology: 550020206 networking & telecommunications02 engineering and technologyprototype reduction schemesBayes' theorempattern classificationVDP::Mathematics and natural science: 400::Information and communication science: 420Exponential familyArtificial IntelligenceSignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionBeta distributionAlgorithmSoftwareMathematicsParametric statisticsPattern Recognition
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