Search results for "Benchmarking"

showing 10 items of 112 documents

Which Is Which? Evaluation of Local Descriptors for Image Matching in Real-World Scenarios

2019

Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes.

Matching (statistics)Computer scienceDeep descriptorVisual descriptorsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genreCONTEST01 natural sciencesTask (project management)Local image descriptors0202 electrical engineering electronic engineering information engineering0105 earth and related environmental sciencesSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniLocal image descriptors Image matching Deep descriptorsImage matchingSettore INF/01 - Informaticabusiness.industryImage matchingDeep learningBenchmarkingReal image020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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AMaLGaM IDEAs in noiseless black-box optimization benchmarking

2009

This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBOB (Black-Box Optimization Benchmarking). Specifically, the EDA considered here is the recently introduced parameter-free version of the Adapted Maximum-Likelihood Gaussian Model Iterated Density-Estimation Evolutionary Algorithm (AMaLGaM-IDEA). Also the version with incremental model building (iAMaLGaM-IDEA) is considered.

Mathematical optimizationGaussianComputer Science::Neural and Evolutionary ComputationMathematicsofComputing_NUMERICALANALYSISEvolutionary algorithmBenchmarkingEvolutionary computationsymbols.namesakeIterated functionBlack boxBenchmark (computing)symbolsIncremental build modelMathematicsProceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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Towards Better Integration of Surrogate Models and Optimizers

2019

Surrogate-Assisted Evolutionary Algorithms (SAEAs) have been proven to be very effective in solving (synthetic and real-world) computationally expensive optimization problems with a limited number of function evaluations. The two main components of SAEAs are: the surrogate model and the evolutionary optimizer, both of which use parameters to control their respective behavior. These parameters are likely to interact closely, and hence the exploitation of any such relationships may lead to the design of an enhanced SAEA. In this chapter, as a first step, we focus on Kriging and the Efficient Global Optimization (EGO) framework. We discuss potentially profitable ways of a better integration of…

Mathematical optimizationOptimization problemoptimisationComputer sciencemedia_common.quotation_subjectTestbedEvolutionary algorithmevoluutiolaskenta02 engineering and technologyBenchmarkingmatemaattinen optimointimathematical optimisationSurrogate modeloptimointievolutionary computationKriging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingFunction (engineering)Global optimizationmedia_common
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A Visualizable Test Problem Generator for Many-Objective Optimization

2022

Visualizing the search behavior of a series of points or populations in their native domain is critical in understanding biases and attractors in an optimization process. Distancebased many-objective optimization test problems have been developed to facilitate visualization of search behavior in a two-dimensional design space with arbitrarily many objective functions. Previous works have proposed a few commonly seen problem characteristics into this problem framework, such as the definition of disconnected Pareto sets and dominance resistant regions of the design space. The authors’ previous work has advanced this research further by providing a problem generator to automatically create use…

Mathematical optimizationProcess (engineering)Computer sciencevisualisointimulti-objective test problemsPareto principleevolutionary optimizationmonitavoiteoptimointiMulti-objective optimizationTheoretical Computer ScienceDomain (software engineering)Visualizationtest suiteRange (mathematics)avoin lähdekoodioptimointiComputational Theory and MathematicsTest suitebenchmarkingongelmanratkaisuvisualizationSoftwareGenerator (mathematics)IEEE Transactions on Evolutionary Computation
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Benchmarking Saliency Detection Methods on Multimodal Image Data

2018

Saliency detecmage processing. Most of the work is adapted to the specific application and available dataset. The present work is about a comparative analysis of saliency detection for multimodal images dataset. There were many researches on the detection of saliency on several types of images, such as multispectral, natural, 3D and so on. This work presents a first focused study on saliency detection on multimodal images. Our database was extracted from acquisitions on cultural heritage wall paintings that contain four modalities UV, IR, Visible and fluorescence. In this paper, the analysis has been performed for many methods on saliency detection. We evaluate the performance of each metho…

Modality (human–computer interaction)Similarity (geometry)Computer sciencebusiness.industry05 social sciencesMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognition02 engineering and technologyBenchmarking050105 experimental psychologyMultimodal imageMetric (mathematics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesSaliency mapArtificial intelligencebusiness
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The FIRST experiment at GSI

2012

The FIRST (Fragmentation of Ions Relevant for Space and Therapy) experiment at the SIS accelerator of GSI laboratory in Darmstadt has been designed for the measurement of ion fragmentation cross-sections at different angles and energies between 100 and 1000 MeV/nucleon. Nuclear fragmentation processes are relevant in several fields of basic research and applied physics and are of particular interest for tumor therapy and for space radiation protection applications. The start of the scientific program of the FIRST experiment was on summer 2011 and was focused on the measurement of 400 MeV/nucleon 12C beam fragmentation on thin (8 mm) graphite target. The detector is partly based on an alread…

Nuclear and High Energy PhysicsIon beamPhysics::Instrumentation and Detectorsmedicine.medical_treatmentNuclear physics[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]ScintillatorElementary-particleFIRST7. Clean energy01 natural sciencesParticle detectorWire chamberNuclear physicsDipole magnetFragmentationPARTICLE THERAPYhadrontherapy; fragmentation; nuclear physics; elementary-particle; instrumentation; experimental methodsHadrontherapy0103 physical sciencesmedicineNeutron detectionddc:530Gaseous detectorION-BEAM010306 general physicsNuclear ExperimentDETECTORInstrumentationGEANT4PARTICLE THERAPY; FLUKA CODE; ION-BEAM; FRAGMENTATION; BENCHMARKING; RADIOTHERAPY; TRANSPORT; DETECTOR; GEANT4; FIRSTPhysicsParticle therapyTime projection chamber010308 nuclear & particles physicsExperimental methodsDetectorScintillatorTRANSPORTSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hadrontherapy; Fragmentation; Nuclear physics; Elementary-particle; Experimental methods; InstrumentationFLUKA CODEBENCHMARKINGElementary-particle; Experimental methods; Fragmentation; Hadrontherapy; Instrumentation; Nuclear physics; Instrumentation; Nuclear and High Energy PhysicsRADIOTHERAPY
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Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA: an empirical case involving the Italian public healthcare conte…

2017

A novel fuzzy-based approach which combines ELECTRE III along with the Importance-Performance Analysis (IPA) is proposed in the present work to comparatively evaluate the service quality in the public healthcare context. Specifically, ELECTRE III is firstly considered to compare the service performance of examined hospitals in a noncompensatory manner. Afterwards, IPA is employed to support the service quality management to point out improvement needs and their priorities. The proposed approach also incorporates features of the Fuzzy Set Theory so as to address the possible uncertainty, subjectivity and vagueness of involved experts in evaluating the service quality. The model is applied to…

Operations researchQuality Assurance Health CareComputer scienceFuzzy setMedicine (miscellaneous)Context (language use)Service quality managementFuzzy logicHealth administration03 medical and health sciencesHealth Professions (all)0302 clinical medicineFuzzy LogicSettore ING-IND/17 - Impianti Industriali MeccaniciService quality benchmarkingHumans030212 general & internal medicineELECTRESettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneELECTRE IIIQuality of Health CareService (business)Service quality030503 health policy & servicesHealthcare qualityBenchmarkingELECTRE III; Fuzzy set theory; Healthcare quality; IPA; Service quality benchmarking; Service quality management; Medicine (miscellaneous); Health Professions (all)Settore ING-IND/35 - Ingegneria Economico-GestionaleBenchmarkingItalyIPAModels OrganizationalGeneral Health ProfessionsFuzzy set theory0305 other medical scienceHealth care management science
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Water quality sensor placement: a multi-objective and multi-criteria approach

2021

[EN] To satisfy their main goal, namely providing quality water to consumers, water distribution networks (WDNs) need to be suitably monitored. Only well designed and reliable monitoring data enables WDN managers to make sound decisions on their systems. In this belief, water utilities worldwide have invested in monitoring and data acquisition systems. However, good monitoring needs optimal sensor placement and presents a multi-objective problem where cost and quality are conflicting objectives (among others). In this paper, we address the solution to this multi-objective problem by integrating quality simulations using EPANET-MSX, with two optimization techniques. First, multi-objective op…

OptimizationMathematical optimizationOptimization problemWater distribution systems010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subject0208 environmental biotechnology02 engineering and technologyWater quality sensor placement01 natural sciencesMulti-objective optimizationEntropy (information theory)Quality (business)ELECTRECluster analysis0105 earth and related environmental sciencesWater Science and TechnologyCivil and Structural Engineeringmedia_common06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosPareto principleBenchmarking020801 environmental engineeringELECTRE TRIMATEMATICA APLICADA
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Unconstrained periodic boundary conditions for solid state elasticity

2004

We introduce a method to implement dynamics on an elastic lattice without imposing constraints via boundary or loading conditions. Using this method we are able to examine fracture processes in two-dimensional systems previously inaccessible for reliable computer simulations. We show the validity of the method by benchmarking and report a few preliminary results.

PhysicsDynamic scalingClassical mechanicsCriticalityHardware and ArchitectureLattice (order)Solid-stateGeneral Physics and AstronomyApplied mathematicsPeriodic boundary conditionsBenchmarkingScale invarianceElasticity (economics)Computer Physics Communications
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Analysing the efficiency of wastewater treatment plants: The problem of the definition of desirable outputs and its solution

2020

Abstract Evaluating the efficiency of wastewater treatment plants (WWTPs) is highly relevant to improve their performance from an economic and environmental perspective. The issue is even more critical in countries where WWTPs are benchmarked to regulate water companies and define WWTPs’ economic and environmental objectives. Despite the large number of previous studies on this topic, none has considered that the amount of outputs produced by the WWTPs is restricted by the concentration of pollutants in the effluent. To overcome this limitation, the study’s main objective was to propose a new variant of the Weighted Russell Directional Distance Model (WRDDM) that would solve problems regard…

PollutantRenewable Energy Sustainability and the Environment020209 energyStrategy and Management05 social sciencesSample (statistics)Economía Aplicada02 engineering and technologyBenchmarkingEfficiencyWastewater treatmentNew variantIndustrial and Manufacturing EngineeringBenchmarkingDistance model050501 criminology0202 electrical engineering electronic engineering information engineeringEnvironmental scienceSewage treatmentBiochemical engineeringEffluentSelection (genetic algorithm)Data envelopment analysis (DEA)0505 lawGeneral Environmental Science
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