Search results for "Timo"

showing 10 items of 2111 documents

An Estimative Model of Automated Valuation Method in Italy

2017

The Automated Valuation Method (AVM) is a computer software program that analyzes data using an automated process. It is related to the process of appraising an universe of real estate properties, using common data and standard appraisal methodologies. Generally, the AVM is based on quantitative models (statistical, mathematical, econometric, etc.), related to the valuation of the properties gathered in homogeneous groups (by use and location) for which are collected samples of market data. The real estate data are collected regularly and systematically. Within the AVM, the proposed valuation scheme is an uniequational model to value properties in terms of widespread availability of sample …

Computer science0211 other engineering and technologies021107 urban & regional planningReal estateStatistical model02 engineering and technologyMarket segmentationHomogeneousAVM Valuation Market segment Appraisal functionLinear form021105 building & constructionComputer softwareMarket dataEconometricsSettore ICAR/22 - EstimoOperations managementValuation (finance)
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Multimodal Images Classification using Dense SURF, Spectral Information and Support Vector Machine

2019

International audience; The multimodal image classification is a challenging area of image processing which can be used to examine the wall painting in the cultural heritage domain. In such classification, a common space of representation is important. In this paper, we present a new method for multimodal representation learning, by using a pixel-wise feature descriptor named dense Speed Up Robust Features (SURF) combined with the spectral information carried by the pixel. For classification of extracted features we have used support vector machine (SVM). Our database was extracted from acquisition on cultural heritage wall paintings that contain four modalities UV, Visible, IRR and fluores…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologyImage (mathematics)0202 electrical engineering electronic engineering information engineeringFeature descriptorRepresentation (mathematics)Spectral informationSpeeded up robust features SURFGeneral Environmental SciencePixelbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020206 networking & telecommunicationsPattern recognitionSVM classificationSupport vector machineCultural heritageMultimodal imagesCielab spaceDense features[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]General Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencebusinessFeature learning
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Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals.

2019

In pattern recognition, the selection of appropriate features is paramount to both the performance and the robustness of the system. Over-reliance on machine learning-based feature selection methods can, therefore, be problematic; especially when conducted using small snapshots of data. The results of these methods, if adopted without proper interpretation, can lead to sub-optimal system design or worse, the abandonment of otherwise viable and important features. In this work, a deep exploration of pain-based emotion classification was conducted to better understand differences in the results of the related literature. In total, 155 different time domain and frequency domain features were e…

Computer scienceFeature vectorFeature extractionFeature selection02 engineering and technologyphysiological signalslcsh:RC321-57103 medical and health sciences0302 clinical medicineEMGfeature selectionChartemotion recognition0202 electrical engineering electronic engineering information engineeringaffective computinglcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal Researchheat painmultimodal analysisbusiness.industryGeneral NeuroscienceDeep learningDimensionality reductionfeature extractionPattern recognitionFeature (computer vision)Pattern recognition (psychology)020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgeryNeuroscienceFrontiers in neuroscience
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Register data in sample allocations for small-area estimation

2018

The inadequate control of sample sizes in surveys using stratified sampling and area estimation may occur when the overall sample size is small or auxiliary information is insufficiently used. Very small sample sizes are possible for some areas. The proposed allocation based on multi-objective optimization uses a small-area model and estimation method and semi-collected empirical data annually collected empirical data. The assessment of its performance at the area and at the population levels is based on design-based sample simulations. Five previously developed allocations serve as references. The model-based estimator is more accurate than the design-based Horvitz–Thompson estimator and t…

Computer scienceGeneral MathematicsGeography Planning and DevelopmentPopulationSample (statistics)01 natural sciences010104 statistics & probabilitySmall area estimationmodel-based EBLUP0502 economics and businessSampling designStatisticsrekisteritotanta0101 mathematicseducation050205 econometrics DemographyEstimationta113education.field_of_studyta112kaupparekisteritauxiliary and proxy data05 social sciencesEstimatortrade-off between areas and populationmonitavoiteoptimointiStratified samplingkohdentaminenmulti-objective optimizationSample size determinationGeneral Agricultural and Biological SciencesperformanceMathematical Population Studies
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Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text

2016

International audience; Depression is a major cause of disability world-wide. The present paper reports on the results of our participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities ( audio, visual, interview transcript-based) in gender-based and gender-independent modes using a variety of classification algorithms. In our approach, both high and low level features were assessed in each modality. Audio features were extracted from the low-level descriptors provided by the challenge organizers. Several visual features were extracted and assessed including dynamic characteristics of facial elements…

Computer scienceSpeech recognitionPosterior probabilitymultimodal fusionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]AVEC 2016Histogram0202 electrical engineering electronic engineering information engineeringFeature (machine learning)[ SPI ] Engineering Sciences [physics]Affective computingaffective computing[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]speech processing[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Modality (human–computer interaction)[ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph]pattern recognition020206 networking & telecommunicationsSpeech processingimage processingStatistical classificationdepression assessment13. Climate actionPattern recognition (psychology)020201 artificial intelligence & image processing
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Mediated learning materials: visibility checks in telepresence robot mediated classroom interaction

2021

Videoconferencing is increasingly used in education as a way to support distance learning. This article contributes to the emerging interactional literature on video-mediated educational interaction by exploring how a telepresence robot is used to facilitate remote participation in university-level foreign language teaching. A telepresence robot differs from commonly used videoconferencing set-ups in that it allows mobility and remote camera control. A remote student can thus move a classroom-based robot from a distance in order to shift attention between people, objects and environmental structures during classroom activities. Using multimodal conversation analysis, we focus on how partici…

Computer scienceTeaching methodDistance educationComputer-Assisted Instructionluokkatyöskentelycomputer.software_genreEducationMultimodalityVideoconferencingHuman–computer interactionetäosallistuminenvideoneuvottelutlearning materialsmultimodalitymultimodaalisuusoppimateriaali060201 languages & linguisticsTeleroboticskieltenopetus4. Education05 social sciencesVisibility (geometry)Educational technology050301 educationvideo-mediated interaction06 humanities and the artstelepresence robotcomputer-assisted language learning0602 languages and literaturerobotitclassroom interaction516 Educational sciences0503 educationcomputer
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Reconfigurable photonic routers based on multimode interference couplers

2015

We present a design approach for compact reconfigurable light routers with N access waveguides (WGs) based on multimode interference (MMI) couplers. The proposed devices comprise two MMI couplers, which are employed as power splitters and combiners, respectively, linked by an array of N single-mode WGs. When the effective refractive index of the WGs is modulated with the proper relative optical phase difference, the light can switch paths between the preset output channel and the remaining output WGs. Taking advantage of the transfer phases between the access ports of the MMI couplers, we derive very simple phase relations between the modulated WGs that enable the reconfiguration of the out…

Computer sciencebusiness.industryPhase (waves)Control reconfigurationStatistical and Nonlinear Physics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesTransfer matrixAtomic and Molecular Physics and Optics010309 opticsOpticsSurface wave0103 physical sciencesElectronic engineeringPower dividers and directional couplersMultimode interferencePhotonics0210 nano-technologybusinessEffective refractive indexJournal of the Optical Society of America B
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A Low-Cost Multi-Modal Auditory-Visual-Tactile Framework for Remote Touch

2020

International audience; Haptic technology for human augmentation provides gains in ability for different applications, whether the aim is to enhance "disabilities" to "abilities", or "abilities" to "super-abilities". Commercially-available devices are generally expensive and tailored to specific applications and hardware. To give researchers a haptic feedback system that is economical, customisable, and fast to fabricate, our group developed a low-cost immersive haptic, audio, and visual experience built by using off-the-shelf (COTS) components. It is composed of a vibrotactile glove, a Leap Motion sensor, and an head-mounted display, integrated together to provide compelling immersive sens…

Computer sciencebusiness.industrymedia_common.quotation_subject010401 analytical chemistryIllusion02 engineering and technologyTechnology readiness levelVirtual realityModular design021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesVisualizationHuman-Computer InteractionSoftwareModalHuman–computer interaction[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]0210 nano-technologybusinessComputingMilieux_MISCELLANEOUSWearable HapticsHaptic technologymedia_commonMultimodality
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Universal design as resilient urban space plan strategy. New scenarios for environmental resources’ sustainable management

2021

Nowadays, urban framework, stressed by the growing anthropic pressure and its constantly evolving use requests is split by uneven structures, contexts, users and patchy needs, which come out to be inefficient and ineffective in access and management. This fact is directly connected both with morph-functional structure of urban texture and its continuous changing trends. The most important consequences of this situation are some negative effects that produce entropy, mistaken anthropic space uses, ecological networks decrease and most of all a substantial urban life quality reduction connected with mobility problems and non-resilient spaces' use at the different plan scales. These elements m…

Computer sciencemedia_common.quotation_subjectUniversal designEnvironmental resources Plan strategy Resilience Universal design Urban contextPlan (drawing)Environmental economicsEcological networkEnvironmental sciencesenvironmental resourcesPublic spaceuniversal design; urban context; plan strategy; resilience; environmental resourcesuniversal designSustainable managementSettore AGR/01 - Economia Ed Estimo RuraleSustainabilityplan strategyurban contextQuality (business)GE1-350Design for AllresilienceGeneral Environmental Sciencemedia_common
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Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods

2018

Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively direct the solution process. However, when analyzing the performance of these methods, a critical issue is how to systematically involve decision makers. A recent approach to this problem is to replace a decision maker with an artificial one to be able to systematically evaluate and compare reference point based interactive methods in controlled experiments. In this study, a new artificial decision maker is proposed, which reuses the dynamics of particle swarm optimization f…

Computer sciencepäätöksentekomultiple criteria decision makingContext (language use)02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesMulti-objective optimizationoptimointi0202 electrical engineering electronic engineering information engineeringmultiobjective optimization0101 mathematicsToma de decisionespreference articulationparticle swarm optimizationbusiness.industryParticle swarm optimizationDecision makermonitavoiteoptimointiPreferenceMulti-objective optimization010101 applied mathematicsBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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