Search results for "pattern"

showing 10 items of 4203 documents

A new paradigm for pattern classification: Nearest Border Techniques

2013

Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…

Class (set theory)Training setPattern ClassificationComputer sciencebusiness.industrySVMVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Centroid02 engineering and technology01 natural sciencesVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Support vector machine010104 statistics & probabilityExperimental testingOutlier0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematics10. No inequalitySet (psychology)businessTest sampleBorder Identification
researchProduct

Heteroclinic contours and self-replicated solitary waves in a reaction–diffusion lattice with complex threshold excitation

2008

Abstract The space–time dynamics of the network system modeling collective behavior of electrically coupled nonlinear cells is investigated. The dynamics of a local cell is described by the FitzHugh–Nagumo system with complex threshold excitation. Heteroclinic orbits defining traveling wave front solutions are investigated in a moving frame system. A heteroclinic contour formed by separatrix manifolds of two saddle-foci is found in the phase space. The existence of such structure indicates the appearance of complex wave patterns in the network. Such solutions have been confirmed and analyzed numerically. Complex homoclinic orbits found in the neighborhood of the heteroclinic contour define …

Classical mechanicsPhase spaceReaction–diffusion systemComplex systemPattern formationHeteroclinic cycleStatistical and Nonlinear PhysicsHeteroclinic orbitHomoclinic orbitHeteroclinic bifurcationCondensed Matter PhysicsMathematicsPhysica D: Nonlinear Phenomena
researchProduct

Producer's spatial equilibrium with a fuzzy constraint

1980

The classical theory of the producer’s equilibrium rests on two sets of particularly restrictive hypotheses. First it is implicitely assumed that all inputs and outputs are located in a single place where the producer is also implanted and where the production is carried out. Next it is assumed that the producer follows a precise behaviour pattern, by this we mean that the producer has complete information concerning the conditions of hisproductive activity and he has perfect command over both the set of inputs and the set of outputs; he realises the maximum profit allowed by the technological constraint which limits his possible actions and by the given price system. The aim of this study …

Classical theoryMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceBehaviour patternAgent BehaviorManagement Science and Operations ResearchPrice system[SHS.ECO]Humanities and Social Sciences/Economics and FinanceIndustrial and Manufacturing EngineeringFuzzy constraintSpatial equilibriumProfit (economics)Economic spaceEconomic spaceComplete informationModeling and Simulation[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematics
researchProduct

Long-term zoobenthos variability in the Gulf of Riga in relation to climate variability

2001

Abstract Macrozoobenthos data were collected three times a year from 1979 to 1996 in the Gulf of Riga, Eastern Baltic Sea. Interannual variability of the abundance and biomass of benthic fauna at coastal and offshore areas was related to climate variability using a multivariate regression model. The results suggest that the interannual variability of macrozoobenthos biomass at the offshore station in spring is controlled by the climate variability during winter-time. No correlations to large-scale climate pattern have been detected for other seasons and for the coastal region. An analysis of river runoff, nitrogen, and phosphorus data of the River Daugava indicates that the anthropogenic in…

Climate patternBiomass (ecology)OceanographyBenthosAbundance (ecology)Benthic zoneFaunaEnvironmental scienceSubmarine pipelineAquatic ScienceOceanographyEutrophicationEcology Evolution Behavior and SystematicsJournal of Marine Systems
researchProduct

The assimilation of problematic experiences in linguistic therapy of evaluation: How did maría assimilate the experience of dizziness?

2006

Abstract The assimilation model proposes eight stages through which patients with problematic experiences pass during assimilation, ranging from suppression or dissociation to mastery. These are summarized in the Assimilation of Problematic Experiences Scale (APES). The assimilation model and the APES have been developed through intensive qualitative study of significant therapeutic events. This article describes the process of assimilation of the problematic experiences of dizziness in a patient, Maria, treated with linguistic therapy of evaluation. All treatment sessions were analyzed with the goals of describing the process of assimilation and connecting this process with the therapeutic…

Clinical PsychologyPsychotherapistGeneral patternPsychologyLinguisticsDevelopmental psychologyQualitative researchPsychotherapy Research
researchProduct

Express RGB mapping of three to five skin chromophores

2017

Skin melanin, oxy- and deoxy-hemoglobin were snapshot-mapped under simultaneous 448-532-659 nm laser illumination by a smartphone RGB camera. Experimental prototypes for double-snapshot RGB mapping of four (melanin, bilirubin, oxy- and deoxy-hemoglobin) and five (melanin, bilirubin, lipids, oxy- and deoxy-hemoglobin) skin chromophores with reduced laser speckle artefacts have been developed and tested. A set of 405-448-532-659 nm lasers were used for four chromophores mapping, and a set of 405-448-532-659-842 nm lasers for five chromophores mapping. Clinical tests confirmed functionality of the developed devices.

Clinical testsMaterials sciencebusiness.industryChromophoreSmartphone applicationLaser01 natural scienceslaw.invention010309 opticsSpeckle patternOpticslaw0103 physical sciencesOptoelectronicsRGB color modelLaser illuminationbusinessSPIE Proceedings
researchProduct

Robustified smoothing for enhancement of thermal image sequences affected by clouds

2015

Obtaining radiometric surface temperature information with both high acquisition rate and high spatial resolution is still not possible through a single sensor. However, in several earth observation applications, the fusion of data acquired by different sensors is a viable solution for so called image sharpening. A related issue is the presence of clouds, which may impair the performance of the data fusion algorithms. In this paper we propose a robustified setup for the sharpening of thermal images in a non real-time scenario, capable to deal with missing thermal data due to cloudy pixels, and robust with respect to cloud mask misclassifications. The effectiveness of the presented technique…

Cloud MaskingEarth observationComputer scienceSharpeningBayesian SmoothingRobustness (computer science)Multitemporal AnalysiThermalRobustneSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionRobustnessImage resolutionMultitemporal AnalysisPixelbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComputer Science Applications1707 Computer Vision and Pattern RecognitionBayesian Smoothing; Cloud Masking; Multitemporal Analysis; Robustness; Thermal Sharpening; Earth and Planetary Sciences (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionThermal SharpeningArtificial intelligencebusinessEarth and Planetary Sciences (all)SmoothingSettore ICAR/06 - Topografia E CartografiaInterpolation
researchProduct

SMART: Unique splitting-while-merging framework for gene clustering

2014

© 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not require any a priori knowledge of either the number …

Clustering algorithmsMicroarrayslcsh:MedicineGene ExpressionBioinformaticscomputer.software_genreCell SignalingData MiningCluster Analysislcsh:ScienceFinite mixture modelOligonucleotide Array Sequence AnalysisPhysicsMultidisciplinarySMART frameworkConstrained clusteringCompetitive learning modelBioassays and Physiological AnalysisMultigene FamilyCanopy clustering algorithmEngineering and TechnologyData miningInformation TechnologyGenomic Signal ProcessingAlgorithmsResearch ArticleSignal TransductionComputer and Information SciencesFuzzy clusteringCorrelation clusteringResearch and Analysis MethodsClusteringMolecular GeneticsCURE data clustering algorithmGeneticsGene RegulationCluster analysista113Gene Expression Profilinglcsh:RBiology and Life SciencesComputational BiologyCell BiologyDetermining the number of clusters in a data setComputingMethodologies_PATTERNRECOGNITIONSplitting-merging awareness tactics (SMART)Signal ProcessingAffinity propagationlcsh:QGene expressionClustering frameworkcomputer
researchProduct

The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
researchProduct

Computation Cluster Validation in the Big Data Era

2017

Data-driven class discovery, i.e., the inference of cluster structure in a dataset, is a fundamental task in Data Analysis, in particular for the Life Sciences. We provide a tutorial on the most common approaches used for that task, focusing on methodologies for the prediction of the number of clusters in a dataset. Although the methods that we present are general in terms of the data for which they can be used, we offer a case study relevant for Microarray Data Analysis.

Clustering high-dimensional dataClass (computer programming)Clustering validation measureSettore INF/01 - InformaticaComputer sciencebusiness.industryBig dataInferenceMicroarrays data analysiscomputer.software_genreGap statisticTask (project management)ComputingMethodologies_PATTERNRECOGNITIONCURE data clustering algorithmConsensus clusteringHypothesis testing in statisticClustering Class Discovery in Data Algorithmsb Clustering algorithmFigure of meritConsensus clusteringData miningCluster analysisbusinesscomputer
researchProduct