Search results for "VISION"

showing 10 items of 5066 documents

Research on Vocabulary Sizes and Codebook Universality

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/697245 Open Access Codebook is an effective image representation method. By clustering in local image descriptors, a codebook is shown to be a distinctive image feature and widely applied in object classification. In almost all existing works on codebooks, the building of the visual vocabulary follows a basic routine, that is, extracting local image descriptors and clustering with a user-designated number of clusters. The problem with this routine lies in that building a codebook for each single dataset is not efficient. In order to deal with th…

ComputingMethodologies_PATTERNRECOGNITIONArticle SubjectApplied Mathematicslcsh:MathematicsInformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVDP::Technology: 500::Information and communication technology: 550Analysis; Applied Mathematicslcsh:QA1-939Analysis
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An optimization approach to segment breast lesions in ultra-sound images using clinically validated visual cues

2015

International audience; As long as breast cancer remains the leading cause of cancer deaths among female population world wide, developing tools to assist radiologists during the diagnosis process is necessary. However, most of the technologies developed in the imaging laboratories are rarely integrated in this assessing process, as they are based on information cues differing from those used by clinicians. In order to grant Computer Aided Diagnosis (CAD) systems with these information cues when performing non-aided diagnosis, better segmentation strategies are needed to automatically produce accurate delineations of the breast structures. This paper proposes a highly modular and flexible f…

ComputingMethodologies_PATTERNRECOGNITIONBreast Ultra-SoundComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGraph-CutsMachine-Learning based Segmentation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingBI-RADS lexiconOptimization based Segmentation[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Iris : a solution for executing handwritten code

2012

Masteroppgave i informasjons- og kommunikasjonsteknologi IKT590 2012 – Universitetet i Agder, Grimstad This paper presents a novel approach to executing handwritten code, the solution coined Iris. My research falls within the field of mobile app development, handwriting recognition, optical and intelligent character recognition (OCR & ICR), machine learning, as well as various Computer Science-related fields such as domain specific languages, or DSLs. The solution outlined in this paper details a system where one can author code using only a writing utensil (such as a pen), scratch paper (such as a napkin), and a smart phone. Iris leverages the power of the cloud to process an image of hand…

ComputingMethodologies_PATTERNRECOGNITIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
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Table S1 from Open data and digital morphology

2017

Summary of main online repositories for 3D digital morphological data.

ComputingMethodologies_PATTERNRECOGNITIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_COMPUTERGRAPHICS
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Interactive Pansharpening and Active Classification in Remote Sensing

2013

This chapter presents two multimodal prototypes for remote sensing image classification where user interaction is an important part of the system. The first one applies pansharpening techniques to fuse a panchromatic image and a multispectral image of the same scene to obtain a high resolution (HR) multispectral image. Once the HR image has been classified the user can interact with the system to select a class of interest. The pansharpening parameters are then modified to increase the system accuracy for the selected class without deteriorating the performance of the classifier on the other classes. The second prototype utilizes Bayesian modeling and inference to implement active learning …

ComputingMethodologies_PATTERNRECOGNITIONContextual image classificationKernel (image processing)PixelComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDecision boundaryLinear discriminant analysisClassifier (UML)Panchromatic filmRemote sensing
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Improving the k-NCN classification rule through heuristic modifications

1998

Abstract This paper presents an empirical investigation of the recently proposed k-Nearest Centroid Neighbours ( k -NCN) classification rule along with two heuristic modifications of it. These alternatives make use of both proximity and geometrical distribution of the prototypes in the training set in order to estimate the class label of a given sample. The experimental results show that both alternatives give significantly better classification rates than the k -Nearest Neighbours rule, basically due to the properties of the plain k -NCN technique.

ComputingMethodologies_PATTERNRECOGNITIONTraining setArtificial Intelligencebusiness.industryClassification ruleSignal ProcessingCentroidPattern recognitionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
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Additional file 1 of Case report: Trans-papillary free stenting of the cystic duct and of the common bile duct in a double biliary ducts anastomoses …

2021

Additional file 1: Video. Imaging evaluation and surgical maneuvers.

ComputingMethodologies_SIMULATIONANDMODELINGData_FILESComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSComputingMethodologies_COMPUTERGRAPHICS
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"Table 1" of "Lowest Q**2 measurement of the gamma* p --> delta reaction: Probing the pionic contribution."

2006

Measured value of SIG(C=T) + EPS*SIG(C=L) as a function of the pion angle relative to the virtual photon direction.

ComputingMilieux_THECOMPUTINGPROFESSIONElectron productionNuclear TheoryIntegrated Cross SectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCross SectionSIGInformationSystems_MODELSANDPRINCIPLES7.950E-017.950E-01E- P --> E- PI0 PExclusiveInformationSystems_MISCELLANEOUS1.221ComputingMethodologies_COMPUTERGRAPHICSComputer Science::Cryptography and Security
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Il Centro Tau nella Comunità Educante

2022

L’Associazione “Inventare Insieme (onlus)”, anche grazie all’attivazione dell’officina di promozione socio-culturale “Centro Tau”, ha agito nel passato e nel presente e continua ad agire in un’area della città nella quale il cambia- mento innescato attraverso la concatenazione tra diverse azioni portate avanti da esperti, collaboratori, dipendenti, volontari, comincia ad essere visibile. È pur vero che parlare di cambiamento senza incorrere nei rischi di una sovra-rappresentazione della realtà o di una sua strumentalizzazione è sempre difficile. Pertanto, fermo restando che il cambiamento necessita non soltanto di tempi, ma anche di cornici, si farà riferimento, in questo contesto, alla com…

Comunità educanteSettore SPS/11 - Sociologia Dei Fenomeni Politicirete visione partecipazioneSettore SPS/07 - Sociologia Generale
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Conceptual representations of actions for autonomous robots

2001

An autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping …

Conceptual spaceHybrid processingArtificial neural networkRepresentation levelComputer scienceProcess (engineering)business.industryGeneral MathematicsPerspective (graphical)Representation (systemics)Computer Science Applications1707 Computer Vision and Pattern RecognitionAutonomous robotNeural networkComputer Science ApplicationsMeaning (philosophy of language)Action (philosophy)ActionControl and Systems EngineeringRobotMathematics (all)Artificial intelligencebusinessArtificial visionProcesseSoftware
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