Search results for "Matching"

showing 10 items of 509 documents

La valutazione ex-post dei progetti integrati territoriali: un’analisi econometrica

2014

Questo lavoro tratta della valutazione di un programma di incentivi per lo sviluppo locale attuato nel sud dell’Italia durante l’ultimo decennio. Nel panorama degli strumenti di policy aventi l’obiettivo di ridurre le disparità territoriali e di promuovere lo sviluppo locale, i Progetti Integrati Territoriali (PIT) hanno rappresentato una peculiare modalità operativa di attuazione dei Programmi Operativi Regionali. Le risorse stanziate per ogni PIT potevano essere destinate a tre tipologie di intervento quali le infrastrutture, i regimi di aiuto e le azioni pubbliche. Di conseguenza sono possibili diversi approcci valutativi, a seconda degli obiettivi perseguiti da parte del valutatore. Att…

Settore SECS-P/02 Politica Economicasviluppo locale valutazione ex-post incentivi pubblici propensity score matching
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A Lightweight Software Architecture for Robot Navigation and Visual Logging through Environmental Landmarks Recognition

2006

A robot architecture with real-time performance in navigation tasks is presented. The system architecture is multi-threaded with shared memory and fast message passing through static signalling. In this paper, we focused on the reactive layer components and its straightforward implementation. The proposed architecture is described with reference to an experimental setup, in which the robot task is visual logging of environmental landmarks detected on the basis of sensor readings. Our experimental results show how the robot is able to identify, make snapshots and log a set of landmarks by matching 2D geometric patterns.

Shared memoryComputer sciencebusiness.industryMessage passingReal-time computingSystems architectureRobotComputer visionArtificial intelligencePattern matchingSoftware architecturebusinessMobile robot navigation2006 International Conference on Parallel Processing Workshops (ICPPW'06)
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Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization

2016

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-using models built for one image to be used successfully in other scenes. In order to adapt and transfer models across image acquisitions, one must be able to cope with datasets that are not co-registered, acquired under different illumination and atmospheric conditions, by different sensors, and with scarce ground references. Traditionally, methods based on histogram matching have been used. However, they fail when densities have very different shapes or when there is no corres…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciencesHyperspectral imagingComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesNormalization (image processing)Computer Science - Computer Vision and Pattern Recognition02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesLaboratory of Geo-information Science and Remote SensingComputer vision910 Geography & travelMathematicsDomain adaptationContextual image classificationImage and Video Processing (eess.IV)1903 Computers in Earth SciencesPE&RCClassificationAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel method10122 Institute of GeographyKernel (image processing)Feature extractionFeature extractionVery high resolutionGraph-based methods1706 Computer Science ApplicationsFOS: Electrical engineering electronic engineering information engineeringLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesElectrical Engineering and Systems Science - Signal ProcessingEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingManifold alignmentbusiness.industryNonlinear dimensionality reductionHistogram matchingKernel methodsPattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingManifold learningArtificial intelligence2201 Engineering (miscellaneous)businessISPRS Journal of Photogrammetry and Remote Sensing
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Views selection for SIFT based object modeling and recognition

2016

In this paper we focus on automatically learning object models in the framework of keypoint based object recognition. The proposed method uses a collection of views of the objects to build the model. For each object the collection is composed of N×M views obtained rotating the object around its vertical and horizontal axis. As keypoint based object recognition using a complete set of views is computationally expensive, we focused on the definition of a selection method that creates, for each object, a subset of the initial views that visually summarize the characteristics of the object and should be suited for recognition. We select the views by determining maxima and minima of a function, …

Similarity (geometry)Computer science3D single-object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLearning objectScale-invariant feature transform02 engineering and technologySIFT0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer vision060201 languages & linguisticsObject RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFeature matchingCognitive neuroscience of visual object recognitionPattern recognition06 humanities and the artsObject (computer science)Object Modeling0602 languages and literatureSignal ProcessingObject model020201 artificial intelligence & image processingViola–Jones object detection frameworkArtificial intelligencebusiness
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PORE Algorithm for Object Recognition in Photo Layers based on Parametric Characteristics of the Object Edges

2016

PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about their characteristics with the aim at improving image recognition process". Therefore, this study presents a novel approach to object recognition based on the pattern by using photo layers and by defining the objects' specific characteristics. We select and introduce the parameters which determine a higher efficiency of image retrieval of the image objects. In this paper, we describe how the same photos are recognized in a process of classical retrieval compared to our model by analyz…

Similarity (geometry)Matching (graph theory)Computer sciencebusiness.industry3D single-object recognitionpattern recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingPattern recognitionoptimization algorithmObject (computer science)bitmapsimage retrievalimage processingPattern recognition (psychology)computational intelligenceComputer visionArtificial intelligencebusinessImage retrievalAlgorithm
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Detection of a reservoir water level using shape similarity metrics

2017

The matching between reservoirs’ water edge and digital elevation model’s (DEM) contour lines allowed determining the water level at the acquisition date of satellite images. A preliminary study was conducted on the Castello dam (Magazzolo Lake), between Alessandria della Rocca and Bivona (Agrigento, south-Italy). The accuracy assessment of the technique was than evaluated from the comparison between classified and reference objects using similarity metrics about the shape, theme, edge and position, through the plugin STEP of open source software GIS. Moreover, an independent GIS technique was implemented to evaluate the water level, based on a distances’ array between existing contour line…

Similarity (geometry)water surfaceMatching (graph theory)Computer science0211 other engineering and technologies0507 social and economic geography02 engineering and technologyPosition (vector)Digital elevation model021101 geological & geomatics engineeringbusiness.industry05 social sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDEMPattern recognitionWater levelWater levelContour lineSatelliteEnhanced Data Rates for GSM EvolutionArtificial intelligencebusiness050703 geographyLandsatSettore ICAR/06 - Topografia E CartografiaSAR
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Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks

2020

We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the On-line Social Network. Profile matching between users and brands is considered based on bag-of-words representation of textual contents coming from the social media, and measures such as the Term Frequency-Inverse Document Frequency are used in order to characterize the importance of words in the comparison. The approach has been implemented relying on Big Data Technologies, allowing this way the efficient analysis of very large Online Social Networks. Resul…

Social and Information Networks (cs.SI)FOS: Computer and information sciencesMatching (statistics)Social networkSettore INF/01 - Informaticabusiness.industryComputer scienceBig dataDatabases (cs.DB)AdvertisingComputer Science - Social and Information NetworksOnline Social Networks Social Advertising tf-idf Profile Matching.Term (time)Computer Science - Information RetrievalSet (abstract data type)Computer Science - DatabasesOrder (business)Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Social mediabusinessRepresentation (mathematics)Information Retrieval (cs.IR)
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Learning temporal patterns for anomaly intrusion detection

2002

For the last decade an explosive spread of computer systems and computer networks has resulted in a society that is increasingly dependent on information stored on these systems. A computer system connected to the network is accessible from another computer in this network regardless of its geographical position. Along with providing many benefits for legitimate users this technology creates almost unlimited opportunities for malicious persons, which using software vulnerabilities may successfully penetrate the networked computer systems. In order to eliminate potential devastating consequences caused by breaches in computer systems, more and more attention is drawn to the information secur…

SoftwareOrder (exchange)Network securitybusiness.industryComputer scienceVulnerabilityPattern matchingIntrusion detection systemInformation securityComputer securitycomputer.software_genrebusinesscomputerProceedings of the 2002 ACM symposium on Applied computing
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AUTOFOCALIZZAZIONE VIA RANDOM QUASI-PHASE-MATCHING IN GUIDE D’ONDA DI TANTALATO di LITIO

2010

We observe self-localization of light beams via second harmonic generation in a quasi-phase-matched proton-exchanged Lithium Tantalate slab waveguide in the presence of a random component of the periodically-poled grating.

Solitons Random quasi-phase-matching Lithium tantalate
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Curative therapies are superior to standard of care (transarterial chemoembolization) for intermediate stage hepatocellular carcinoma.

2017

Background and aims the Barcelona Clinic Liver Cancer intermediate stage (BCLC-B) of hepatocellular carcinoma (HCC) includes extremely heterogeneous patients in terms of tumor burden and liver function. Transarterial-chemoembolization (TACE) is the first-line treatment for these patients although it may be risky/useless for someone, while others could undergo curative treatments. This study assesses the treatment type performed in a large cohort of BCLC-B patients and its outcome. Methods retrospective analysis of 485 consecutive BCLC-B patients from the ITA.LI.CA database diagnosed with naive HCC after 1999. Patients were stratified by treatment. Results 29 patients (6%) were lost to follo…

SorafenibMaleNiacinamidemedicine.medical_specialtyStandard of careCarcinoma HepatocellularAntineoplastic AgentsGastroenterologyIntermediate stage03 medical and health sciences0302 clinical medicineHCC; BCLC-B; Intermediate stage; Treatment; HepatologyInternal medicinemedicineHumansChemoembolization TherapeuticHCCPropensity ScoreAgedNeoplasm StagingRetrospective Studiesintermediate stageHepatologytreatmentbusiness.industryPatient SelectionPhenylurea CompoundsLiver NeoplasmsSettore MED/09 - MEDICINA INTERNAStandard of CareHepatologyMiddle AgedSorafenibmedicine.diseaseSurvival AnalysisTreatment OutcomeItaly030220 oncology & carcinogenesisHepatocellular carcinomaPropensity score matchingMultivariate Analysis030211 gastroenterology & hepatologyFemaleLiver functionLiver cancerbusinessBCLC-Bmedicine.drug
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