Search results for "MAZ"

showing 10 items of 3205 documents

La didattica nel corso di laurea in Scienze della Formazione Primaria

2012

Il libro raccoglie alcuni articoli sulle competenze previste per i futuri maestri di scuola primaria e dell'infanzia,e sulla progettazione della loro formazione, con particolare riferimento all'integrazione tra la formazione offerta dalle lezioni, dai laboratori e dal tirocinio. Altri articoli riportano i risultati di ricerche svolte sulle difficoltà di apprendimento degli studenti del corso di studi in Scienze della Formazione Primaria, sulla diagnosi precoce dei disturbi specifici di apprendimento dei bambini di cinque anni di età, sul potenziamento dell'intelligenza emotiva negli insegnanti di sostegno. Il libro illustra anche gli obiettivi formativi e le modalità di verifica del loro co…

FORMAZIONE UNIVERSITARIA DEGLI INSEGNANTI SCUOLA PRIMARIA SCUOLA DELL'INFANZIA INSEGNANTE DI SOSTEGNO INTELLIGENZA EMOTIVASettore M-PED/03 - Didattica E Pedagogia Speciale
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I motivi della formazione: le teorie e le strategie di apprendimento

2001

FORMAZIONE APPRENDIMENTOSettore M-PED/01 - Pedagogia Generale E Sociale
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Una giostra per la formazione. Modelli e metodologie nei Piani Operativi Nazionali della Scuola

2011

FORMAZIONE INSEGNANTI SCUOLA METODICHE
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LA GIUSTA DISTANZA. LA RICERCA-INTERVENTO SUI MINORI COME SPAZIO FORMATIVO

2010

FORMAZIONEABUSOMINORI
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Le opportunità della crisi. Letteratura latina, formazione, ricerca

2012

Riflessione sulle prospettive dell'insegnamento/apprendimento della letteratura latina nella cornice di svalutazione che ha colpito i cosiddetti "saperi umanistici" nei percorsi universitari e nel dibattito scientifico.

FORMAZIONELETTERATURA LATINARICERCASettore L-FIL-LET/04 - Lingua E Letteratura Latina
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Inducing the Lyndon Array

2019

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n)$ time using $\sigma + O(1)$ words of working space, where $n$ is the length of the text and $\sigma$ is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use $O(n)$ words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not onl…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceComputationInduced suffix sorting02 engineering and technologySpace (mathematics)law.inventionSuffix sortinglawSuffix arrayComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData_FILESPreprocessorData Structures and Algorithms (cs.DS)0501 psychology and cognitive sciencesComputer Science::Data Structures and AlgorithmsTime complexitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informatica05 social sciencesLightweight algorithmSuffix arraySigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Induced suffix sorting; Lightweight algorithms; Lyndon array; Suffix arrayWorking spaceLyndon arrayLightweight algorithms020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
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SIFT Matching by Context Exposed

2023

This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space. The former is generally used to design the actual matching strategy while the latter to filter matches according to the local spatial consistency. On this basis, a new matching strategy and a novel local spatial filter, named respectively blob matching and Delaunay Triangulation Matching (DTM) are devised. Blob matching provides a general matching framework by merging together several strategies, including rank-based pre-filtering as well as many-to-many and symmetri…

FOS: Computer and information sciencesArtificial neural networkSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBenchmark testingRANSAClocal image descriptorSettore INF/01 - InformaticaApplied MathematicsComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionTransformDetectorDelaunay triangulationMerginglocal spatial filterimage contextComputational Theory and MathematicsArtificial IntelligenceKeypoint matchingSIFTPipelineTrainingComputer Vision and Pattern RecognitionSoftware
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FIRST

2018

Thanks to the collective action of participating smartphone users, mobile crowdsensing allows data collection at a scale and pace that was once impossible. The biggest challenge to overcome in mobile crowdsensing is that participants may exhibit malicious or unreliable behavior, thus compromising the accuracy of the data collection process. Therefore, it becomes imperative to design algorithms to accurately classify between reliable and unreliable sensing reports. To address this crucial issue, we propose a novel Framework for optimizing Information Reliability in Smartphone-based participaTory sensing (FIRST) that leverages mobile trusted participants (MTPs) to securely assess the reliabil…

FOS: Computer and information sciencesComputer Networks and CommunicationsComputer scienceDistributed computingFrameworkCrowdsensing02 engineering and technologyTrustMobileComputer Science - Networking and Internet ArchitectureThe National MapInformation020204 information systems0202 electrical engineering electronic engineering information engineeringAndroid (operating system)ReputationPaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNetworking and Internet Architecture (cs.NI)Data collectionParticipatory sensingInformation quality020206 networking & telecommunicationsQualitySoftware deploymentWireless sensor networkACM Transactions on Sensor Networks
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Using Hankel matrices for dynamics-based facial emotion recognition and pain detection

2015

This paper proposes a new approach to model the temporal dynamics of a sequence of facial expressions. To this purpose, a sequence of Face Image Descriptors (FID) is regarded as the output of a Linear Time Invariant (LTI) system. The temporal dynamics of such sequence of descriptors are represented by means of a Hankel matrix. The paper presents different strategies to compute dynamics-based representation of a sequence of FID, and reports classification accuracy values of the proposed representations within different standard classification frameworks. The representations have been validated in two very challenging application domains: emotion recognition and pain detection. Experiments on…

FOS: Computer and information sciencesComputer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Speech recognitionFeature extractionComputer Science - Computer Vision and Pattern RecognitionPainLTI system theoryComputer Science - RoboticsLinear time invariant systemRepresentation (mathematics)Hidden Markov modelMathematicsEmotionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSequencebusiness.industryPattern recognitiondynamicsClassificationSupport vector machineArtificial Intelligence (cs.AI)Face (geometry)Artificial intelligencebusinessRobotics (cs.RO)Hankel matrix2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Conceptual Spaces for Cognitive Architectures: A lingua franca for different levels of representation

2017

During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [Laird (2012)]) adopt a classical symbolic approach, some (e.g. LEABRA [O'Reilly and Munakata (2000)]) are based on a purely connectionist model, while others (e.g. CLARION [Sun (2006)] adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [Kurup and Chandrasekaran (2007)]. In this p…

FOS: Computer and information sciencesConceptual SpaceCognitive Architectures; Cognitive modeling; Conceptual Spaces; Knowledge representation; Experimental and Cognitive Psychology; Cognitive Neuroscience; Artificial IntelligenceComputer Science - Artificial IntelligenceComputer scienceCognitive NeuroscienceExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyCognitive modelingCognitive ArchitecturesConnectionismArtificial IntelligenceConceptual Spaces0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSoarCognitive ArchitectureRepresentation (mathematics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceKnowledge level05 social sciencesCommon groundCognitionCLARIONDiagrammatic reasoningArtificial Intelligence (cs.AI)Knowledge representation020201 artificial intelligence & image processingThe SymbolicBiologically Inspired Cognitive Architectures
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