Search results for "Edge"

showing 10 items of 3866 documents

An associative link from geometric to symbolic representations in artificial vision

1991

Recent approaches to modelling the reference of internal symbolic representations of intelligent systems suggest to consider a computational level of a subsymbolic kind. In this paper the integration between symbolic and subsymbolic processing is approached in the framework of the research work currently carried on by the authors in the field of artificial vision. An associative mapping mechanism is defined in order to relate the constructs of the symbolic representation to a geometric model of the observed scene.

Artificial Intelligence; Knowledge Representation; Artificial Visionbusiness.industryComputer scienceIntelligent decision support systemKnowledge RepresentationField (computer science)Artificial IntelligenceArtificial visionArtificial VisionThe SymbolicArtificial intelligencebusinessRepresentation (mathematics)Geometric modelingLink (knot theory)Associative property
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Hybrid architecture for shape reconstruction and object recognition

1998

The proposed architecture is aimed to recover 3-D- shape information from gray-level images of a scene; to build a geometric representation of the scene in terms of geometric primitives; and to reason about the scene. The novelty of the architecture is in fact the integration of different approaches: symbolic reasoning techniques typical of knowledge representation in artificial intelligence, algorithmic capabilities typical of artificial vision schemes, and analogue techniques typical of artificial neural networks. Experimental results obtained by means of an implemented version of the proposed architecture acting on real scene images are reported to illustrate the system capabilities.

Artificial neural networkKnowledge representation and reasoningComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingTheoretical Computer ScienceHuman-Computer InteractionArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)Systems architectureComputer visionGeometric primitiveArtificial intelligenceGraphicsbusinessSoftware
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Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine

2020

The rapid deployment in information and communication technologies and internet-based services have made anomaly based network intrusion detection ever so important for safeguarding systems from novel attack vectors. To this date, various machine learning mechanisms have been considered to build intrusion detection systems. However, achieving an acceptable level of classification accuracy while preserving the interpretability of the classification has always been a challenge. In this paper, we propose an efficient anomaly based intrusion detection mechanism based on the Tsetlin Machine (TM). We have evaluated the proposed mechanism over the Knowledge Discovery and Data Mining 1999 (KDD’99) …

Artificial neural networkbusiness.industryComputer science0206 medical engineeringDecision tree02 engineering and technologyIntrusion detection systemMachine learningcomputer.software_genreRandom forestSupport vector machineStatistical classificationKnowledge extraction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer020602 bioinformaticsInterpretability2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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A Neural Architecture for 3D Segmentation

2003

An original neural scheme for segmentation of range data is presented, which is part of a more general 3D vision system for robotic applications. The entire process relies on a neural architecture aimed to perform first order image irradiance analysis, that is local estimation of magnitude and orientation of the image irradiance gradient.

Artificial neural networkbusiness.industryOrientation (computer vision)Computer scienceNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)CurvatureEdge detectionRange (mathematics)Computer Science::Computer Vision and Pattern RecognitionComputer visionSegmentationArtificial intelligencebusiness
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Discovering representative models in large time series databases

2004

The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical observations could allow to perform diagnosis and/or prognosis. Moreover, the efficient discovery of frequent patterns may play an important role in several data mining tasks such as association rule discovery, clustering and classification. However, in order to identify interesting repetitions, it is necessary to allow errors in the matching patterns; in this context, it is difficult to select one pattern particularly suited to represent the set of similar ones, whereas modelling this set with a single model could…

Association rule learningDiscretizationComputer scienceContext (language use)Correlation and dependencecomputer.software_genreSet (abstract data type)CardinalityKnowledge extractionMotif extraction Pattern discoveryPattern matchingData miningCluster analysisTime complexitycomputer
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Study of the reflection spectrum of the LMXB 4U 1702-429

2016

The source 4U 1702-429 (Ara X-1) is a low-mass X-ray binary system hosting a neutron star. Albeit the source is quite bright ( $\sim10^{37}$ erg s$^{-1}$) its broadband spectrum has never been studied. Neither dips nor eclipses have been observed in the light curve suggesting that its inclination angle is smaller than 60$^{\circ}$.We analysed the broadband spectrum of 4U 1702-429 in the 0.3-60 keV energy range, using XMM-Newton and INTEGRAL data, to constrain its Compton reflection component if it is present. After excluding the three time intervals in which three type-I X-ray bursts occurred, we fitted the joint XMM-Newton and INTEGRAL spectra obtained from simultaneous observations. A bro…

Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesSpectral lineAccretion accretion diskSettore FIS/05 - Astronomia E AstrofisicaIonization0103 physical sciencesStars: individual: 4U 1702-429Emission spectrum010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysicsindividual: 4U 1702-429; Stars: neutron; X-rays: binaries; Astronomy and Astrophysics; Space and Planetary Science [Accretion accretion disks; Stars]PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)010308 nuclear & particles physicsAstronomy and AstrophysicsAstronomy and AstrophysicLight curveX-rays: binarieAccretion (astrophysics)Stars: neutronNeutron starAbsorption edgeSpace and Planetary ScienceElectron temperatureAstrophysics::Earth and Planetary AstrophysicsAstrophysics - High Energy Astrophysical Phenomena
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Electron microscopy of particles collected at Praia, Cape Verde, during the Saharan Mineral Dust Experiment: particle chemistry, shape, mixing state …

2011

A large field experiment of the Saharan Mineral Dust Experiment (SAMUM) was performed in Praia, Cape Verde, in January and February 2008. The aerosol at Praia is a superposition of mineral dust, sea-salt, sulphates and soot. Particles smaller than 500 nm are mainly mineral dust, mineral dust–sulphate mixtures, sulphates and soot–sulphate mixtures. Particles larger then 2.5 μm consist of mineral dust, sea-salt and few mineral dust–sulphate mixtures. A transition range exists in between. The major internal mixtures are mineral dust–sulphate and soot–sulphate. Mineral dust–sea-salt mixtures occur occasionally, mineral dust–soot mixtures were not observed. The aspect ratio was 1.3–1.4 for dry p…

Atmospheric Science010504 meteorology & atmospheric sciencesChemistryMineralogy010501 environmental sciencesMineral dustmedicine.disease_causecomplex mixtures01 natural sciencesSootAerosolCape verdeAbsorption edgemedicineParticleParticle sizeAbsorption (electromagnetic radiation)0105 earth and related environmental sciencesTellus B: Chemical and Physical Meteorology
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Orographic Effects and Evaporative Cooling along a Subtropical Cold Front: The Case of the Spectacular Saharan Dust Outbreak of March 2004

2012

Abstract On 2 March 2004 a marked upper-level trough and an associated surface cold front penetrated into the Sahara. High winds along and behind this frontal system led to an extraordinary, large-scale, and long-lived dust outbreak, accompanied by significant precipitation over parts of Algeria, Tunisia, and Libya. This paper uses sensitivity simulations with the limited-area model developed by the Consortium for Small-Scale Modeling (COSMO) together with analysis data and surface observations to test several hypotheses on the dynamics of this case proposed in previous work. It is demonstrated that air over central Algeria is cooled by evaporation of frontal precipitation, substantially en…

Atmospheric ScienceLeading edgeCold frontMountain chainClimatologyEnvironmental scienceSubtropicsMineral dustAtmospheric sciencesTrough (meteorology)Evaporative coolerOrographic liftMonthly Weather Review
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Current trends in scientific research on global warming: A bibliometric analysis

2019

[EN] The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming, as well as to investigate the evolution of the research knowledge through the published papers included in Web of Science database. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. A number of 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n = 95) and the most f…

Atmospheric ScienceSociology of scientific knowledgeBibliometric analysisTECNOLOGIA DE ALIMENTOS0208 environmental biotechnologyClimate change02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesSocial network analysisBibliometric analysisPolitical scienceRegional scienceSocial network analysis0105 earth and related environmental sciencesGlobal and Planetary ChangeSocial networkbusiness.industryGlobal warmingGlobal warmingSubject (documents)020801 environmental engineeringScientific collaborationResearch trendsPosition (finance)SNAbusiness
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Meaning and magnitude of the reduced density matrix cumulants

2012

Abstract Within the framework of a generalized normal ordering (GNO), invented by Mukherjee [1] , the reduced density matrix cumulants of the (multiconfigurational) reference wave function play a central role, as they arise directly from the contraction rules. The extended Wick theorem allows contractions of an arbitrary number of active annihilators and creators through a cumulant of corresponding rank. Because the cumulant rank truncates naturally only at the number of active spin orbitals, practical applications of the GNO concept seem to rely on a fast convergence of the cumulant series, allowing one to neglect cumulants with high rank. By computing cumulant norms for selected systems (…

Atomic orbitalExponential growthComputational chemistryChemistryGeneral Physics and AstronomySinglet stateReduced density matrixStatistical physicsElectronPhysical and Theoretical ChemistryEdgeworth seriesNotationCumulantChemical Physics
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