Search results for "SVD"

showing 10 items of 14 documents

Early structural degeneration of Mitroflow aortic valve: Another issue in addition to the mismatch?

2018

We reported two cases of early structural valve degeneration (SVD) with Mitroflow prosthesis in aortic position in patients above the age of 65 years. Microscopic aspects have been analysed to investigate the intrinsic mechanism of SVD. New techniques to improve the structure and the preservation of this prosthesis are needed in order to reduce potential dangerous early complications.

Aortic valvePulmonary and Respiratory Medicinemedicine.medical_specialtyAortic stenosimedicine.medical_treatmentCase ReportDegeneration (medical)030204 cardiovascular system & hematologyProsthesisStructural valve degeneration (SVD); aortic stenosis; prosthesis03 medical and health sciences0302 clinical medicineInternal medicinemedicineStructural valve degeneration (SVD)ProsthesiSettore MED/05 - Patologia ClinicaIn patient030212 general & internal medicineAortic stenosis; Prosthesis; Structural valve degeneration (SVD); Pulmonary and Respiratory Medicinebusiness.industryaortic stenosisSettore MED/23 - Chirurgia Cardiacamedicine.anatomical_structureCardiologyprosthesisbusiness
researchProduct

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

2008

The multitemporal classification of remote sensing images is a challenging problem, in which the efficient combination of different sources of information (e.g., temporal, contextual, or multisensor) can improve the results. In this paper, we present a general framework based on kernel methods for the integration of heterogeneous sources of information. Using the theoretical principles in this framework, three main contributions are presented. First, a novel family of kernel-based methods for multitemporal classification of remote sensing images is presented. The second contribution is the development of nonlinear kernel classifiers for the well-known difference and ratioing change detectio…

Computer scienceFeature vectorData classificationcomputer.software_genreKernel (linear algebra)Composite kernelMultitemporal classificationElectrical and Electronic EngineeringSupport vector domain description (SVDD)Remote sensingTelecomunicacionesSupport vector machinesContextual image classificationbusiness.industryKernel methodsPattern recognitionSupport vector machineKernel methodKernel (image processing)Change detectionGeneral Earth and Planetary Sciences3325 Tecnología de las TelecomunicacionesArtificial intelligenceData miningInformation fusionbusinessMultisourcecomputerChange detectionIEEE Transactions on Geoscience and Remote Sensing
researchProduct

Feature Dimensionality Reduction for Mammographic Report Classification

2016

The amount and the variety of available medical data coming from multiple and heterogeneous sources can inhibit analysis, manual interpretation, and use of simple data management applications. In this paper a deep overview of the principal algorithms for dimensionality reduction is carried out; moreover, the most effective techniques are applied on a dataset composed of 4461 mammographic reports is presented. The most useful medical terms are converted and represented using a TF-IDF matrix, in order to enable data mining and retrieval tasks. A series of query have been performed on the raw matrix and on the same matrix after the dimensionality reduction obtained using the most useful techni…

Computer scienceLatent semantic analysisbusiness.industryDimensionality reductionData managementCosine similarityPattern recognitionLatent Semantic Analysis (LSA)02 engineering and technologySingular Value Decomposition (SVD)Medical Application03 medical and health sciencesMatrix (mathematics)0302 clinical medicineFeature Dimensionality ReductionFeature (computer vision)Singular value decompositionPrincipal component analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing030212 general & internal medicineArtificial intelligencebusinessPrincipal Component Analysis (PCA)
researchProduct

Automated detection of microaneurysms using robust blob descriptors

2013

International audience; Microaneurysms (MAs) are among the first signs of diabetic retinopathy (DR) that can be seen as round dark-red structures in digital color fundus photographs of retina. In recent years, automated computer-aided detection and diagnosis (CAD) of MAs has attracted many researchers due to its low-cost and versatile nature. In this paper, the MA detection problem is modeled as finding interest points from a given image and several interest point descriptors are introduced and integrated with machine learning techniques to detect MAs. The proposed approach starts by applying a novel fundus image contrast enhancement technique using Singular Value Decomposition (SVD) of fun…

Computer scienceSVMComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyFundus (eye)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0202 electrical engineering electronic engineering information engineeringmedicineComputer visionRetinaRadon transformbusiness.industrySURFHessian[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Diabetic retinopathymedicine.diseaseMicroaneurysmSupport vector machinemedicine.anatomical_structureComputer-aided diagnosis020201 artificial intelligence & image processingArtificial intelligencebusinessSVDRetinopathy
researchProduct

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

2018

In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by appl…

FOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer Networks and CommunicationsComputer scienceMultiple Watermarking02 engineering and technologyDiscrete Fourier transformImage (mathematics)Digital imageDiscrete Fourier transform (DFT)SchemeRobustness (computer science)Quantization0202 electrical engineering electronic engineering information engineeringMedia TechnologyDiscrete cosine transformHybrid method[INFO]Computer Science [cs]Digital watermarkingDiscrete cosine transform (DCT)DistanceImage watermarking020207 software engineeringWatermarkMultimedia (cs.MM)Hardware and ArchitectureMedical ImagesEmbedding020201 artificial intelligence & image processingArnold transformWavelet DomainSvdCryptography and Security (cs.CR)AlgorithmCopyright protectionSoftwareComputer Science - Multimedia
researchProduct

The Role of Immunosenescence in Cerebral Small Vessel Disease: A Review.

2022

Cerebral small vessel disease (CSVD) is one of the most important causes of vascular dementia. Immunosenescence and inflammatory response, with the involvement of the cerebrovascular system, constitute the basis of this disease. Immunosenescence identifies a condition of deterioration of the immune organs and consequent dysregulation of the immune response caused by cellular senescence, which exposes older adults to a greater vulnerability. A low-grade chronic inflammation status also accompanies it without overt infections, an “inflammaging” condition. The correlation between immunosenescence and inflammaging is fundamental in understanding the pathogenesis of age-related CSVD (ArCSVD). Th…

InflammationSettore MED/09 - Medicina InternaEndothelieal dysfunctionImmunosenescenceOrganic ChemistryGeneral MedicineAdaptive ImmunityCatalysisComputer Science ApplicationsArCSVDInorganic ChemistryCerebral Small Vessel DiseasesCSVDHumansinflammagingPhysical and Theoretical ChemistryInflammation MediatorsBBB leakageMolecular BiologySpectroscopyAgedInternational journal of molecular sciences
researchProduct

A Note about Eigenvalues, SVD and PCA

2013

Notes on eigen-decomposition, PCA, SVD and connexions.

PCA[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::Computer Vision and Pattern RecognitionComputer Science::MultimediaQuantitative Biology::Populations and Evolution[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SVDComputer Science::Numerical Analysis
researchProduct

Frequency-Sliding Generalized Cross-Correlation: A Sub-Band Time Delay Estimation Approach

2020

The generalized cross correlation (GCC) is regarded as the most popular approach for estimating the time difference of arrival (TDOA) between the signals received at two sensors. Time delay estimates are obtained by maximizing the GCC output, where the direct-path delay is usually observed as a prominent peak. Moreover, GCCs play also an important role in steered response power (SRP) localization algorithms, where the SRP functional can be written as an accumulation of the GCCs computed from multiple sensor pairs. Unfortunately, the accuracy of TDOA estimates is affected by multiple factors, including noise, reverberation and signal bandwidth. In this paper, a sub-band approach for time del…

Reverberationweighted SVDAcoustics and UltrasonicsCross-correlationComputer scienceNoise (signal processing)SRP-PHATMatrix representationTime delay estimationMultilaterationComputational Mathematicssub-band processingAudio and Speech Processing (eess.AS)Temporal resolutionSingular value decompositionComputer Science (miscellaneous)FOS: Electrical engineering electronic engineering information engineeringGCCElectrical and Electronic EngineeringRepresentation (mathematics)SVDAlgorithmElectrical Engineering and Systems Science - Audio and Speech Processing
researchProduct

A Spatio-temporal Model Based on the SVD to Analyze Daily Average Temperature Across the Sicily Region

2013

SVD spatio-temporal model.
researchProduct

Spatio-temporal models: a simple model based on two SVDs for large datasets

2011

SVD spatio-temporal modelsSettore SECS-S/01 - Statistica
researchProduct