Search results for "DISTANCE"

showing 10 items of 1009 documents

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection

2021

Detecting anomalous changes in remote sensing images is a challenging problem, where many approaches and techniques have been presented so far. We rely on the standard field of multivariate statistics of diagnostic measures, which are concerned about the characterization of distributions, detection of anomalies, extreme events, and changes. One useful tool to detect multivariate anomalies is the celebrated Cook's distance. Instead of assuming a linear relationship, we present a novel kernelized version of the Cook's distance to address anomalous change detection in remote sensing images. Due to the large computational burden involved in the direct kernelization, and the lack of out-…

Atmospheric ScienceMultivariate statisticsComputer scienceMultispectral image0211 other engineering and technologies02 engineering and technology010501 environmental sciences01 natural sciencesField (computer science)13. Climate actionKernel (statistics)KernelizationLeverage (statistics)Computers in Earth SciencesCook's distanceChange detection021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Origin and age of Australian Chenopodiaceae

2005

Abstract We studied the age, origins, and possible routes of colonization of the Australian Chenopodiaceae. Using a previously published rbc L phylogeny of the Amaranthaceae–Chenopodiaceae alliance (Kadereit et al. 2003) and new ITS phylogenies of the Camphorosmeae and Salicornieae, we conclude that Australia has been reached in at least nine independent colonization events: four in the Chenopodioideae, two in the Salicornieae, and one each in the Camphorosmeae, Suaedeae, and Salsoleae. Where feasible, we used molecular clock estimates to date the ages of the respective lineages. The two oldest lineages both belong to the Chenopodioideae ( Scleroblitum and Chenopodium sect. Orthosporum / Dy…

AtriplexbiologyChenopodiumDysphaniaEcologyMolecular clockSarcocorniaAustraliaChenopodiaceaebiology.organism_classificationChenopodioideaeLong-distance dispersalAridificationTemperate floraBiological dispersalMolecular clockMigrationEcology Evolution Behavior and SystematicsOrganisms Diversity & Evolution
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Auditory distance perception in an acoustic pipe

2008

In a study of auditory distance perception, we investigated the effects of exaggeration the acoustic cue of reverberation where the intensity of sound did not vary noticeably. The set of stimuli was obtained by moving a sound source inside a 10.2-m long pipe having a 0.3-m diameter. Twelve subjects were asked to listen to a speech sound while keeping their head inside the pipe and then to estimate the egocentric distance from the sound source using a magnitude production procedure. The procedure was repeated eighteen times using six different positions of the sound source. Results show that the point at which perceived distance equals physical distance is located approximately 3.5 m away fr…

Auditory displayReverberationRange (music)Critical distanceSound and Music ComputingGeneral Computer SciencePerformanceSpeech recognitionmedia_common.quotation_subjectExperimental and Cognitive PsychologySound and Music Computing; Auditory display; Distance perceptionTheoretical Computer ScienceLoudnessPerceptionExperimentationSound (geography)media_commonMathematicsExperimentation; Measurement; Performance; Acoustic pipe; Auditory display; Distance perceptionMeasurementgeographygeography.geographical_feature_categorySettore INF/01 - InformaticaAuditory displaySound intensityAcoustic pipeAcoustic pipe; auditory display; distance perceptionDistance perceptionACM Transactions on Applied Perception
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LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

AutomatedData InterpretationBiometryFeature extractionhigh dimensional datametric learningPattern RecognitionFacial recognition systemSensitivity and SpecificityMatrix decompositionPattern Recognition Automatedcompressed representationComputer-AssistedArtificial Intelligencecompressed representation; high dimensional data; LogDet divergence; metric learning; triplet constraint; Artificial Intelligence; Biometry; Data Interpretation Statistical; Face; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Pattern Recognition Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Facial Expression; Software; Medicine (all); Computer Graphics and Computer-Aided DesignImage Interpretation Computer-AssistedPhotographyHumansDivergence (statistics)Image retrievalImage InterpretationMathematicsMahalanobis distancebusiness.industryLogDet divergenceMedicine (all)Reproducibility of ResultsPattern recognitionStatisticalImage EnhancementComputer Graphics and Computer-Aided DesignFacial ExpressionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionData Interpretation StatisticalFaceMetric (mathematics)Pattern recognition (psychology)Artificial intelligencetriplet constraintbusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison

2020

Abstract The recent developments of information technologies, and the consequent need for access to distributed services and resources, require robust and reliable authentication systems. Biometric systems can guarantee high levels of security and multimodal techniques, which combine two or more biometric traits, warranting constraints that are more stringent during the access phases. This work proposes a novel multimodal biometric system based on iris and retina combination in the spatial domain. The proposed solution follows the alignment and recognition approach commonly adopted in computational linguistics and bioinformatics; in particular, features are extracted separately for iris and…

Biometric systemComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONspatial domain biometric featuresbiometric authentication system4603 Computer Vision and Multimedia Computation46 Information and Computing SciencesmedicineIris (anatomy)multimodal systemRetinabusiness.industrymultimodal retina-iris biometric systemLevenshtein distancePattern recognitionbiometric recognition systemQA75.5-76.95Levenshtein distanceretina and iris featuresmedicine.anatomical_structureFeature (computer vision)Electronic computers. Computer scienceSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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HELMINTH ASSEMBLAGES OF WHITEFISH (COREGONUS LAVARETUS) IN INTERCONNECTED LAKES: SIMILARITY AS A FUNCTION OF SPECIES SPECIFIC PARASITES AND GEOGRAPHI…

2004

This article examined the composition of parasite assemblages of whitefish (Coregonus lavaretus) in 8 interconnected lakes in northeastern Finland and evaluated the role of coregonid specific parasites and the geographical distance between populations in determining the similarity of the assemblages. Parasite assemblages were compared using the Jaccard qualitative similarity index and a quantitative similarity index and by incorporating the allogenic-autogenic species concept and the effects of 2 corresponding measures of geographical distance between the lakes. The majority of the parasite species found (10 of 14) were specific to salmonids. Similarity of assemblages of autogenic parasites…

Biotopefood.dishEcologyZoologyFresh WaterBiologybiology.organism_classificationGeneralist and specialist speciesFish DiseasesfoodSpecies SpecificityCoregonus lavaretusGeographical distanceHelminthsFreshwater fishAnimalsRegression AnalysisParasite hostingDominance (ecology)ParasitologyHelminthiasis AnimalFinlandSalmonidaeEcology Evolution Behavior and SystematicsTrophic levelJournal of Parasitology
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Detection of protection benefits for predatory fishes depends on census methodology

2021

Marine protected areas (MPAs) are used as fisheries management and conservation tools. Well-enforced no-take zones allow the rebuilding of natural populations of exploited species; however, there is still controversy on the role of buffer zones. The effectiveness of MPAs could be underestimated, as fish population assessments depend largely on traditional methodologies that have difficulties in detecting predatory fish because of their low abundances, their patchy distribution, and their reaction to the presence of divers. The performance of different census methods was compared in assessing the protection benefits for large predatory fishes under different protection levels (i.e. no-take a…

Buffer zoneDistance samplingEcologybuffer zonedistance samplingAquatic ScienceCensusmultiple protection areasFisheryGeographyhigh-trophic-level predatorsunderwater visual censusno-take zoneNature and Landscape ConservationAquatic Conservation: Marine and Freshwater Ecosystems
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3D segmentation of abdominal aorta from CT-scan and MR images

2012

International audience; We designed a generic method for segmenting the aneurismal sac of an abdominal aortic aneurysm (AAA) both from multi-slice MR and CT-scan examinations. It is a semi-automatic method requiring little human intervention and based on graph cut theory to segment the lumen interface and the aortic wall of AAAs. Our segmentation method works independently on MRI and CT-scan volumes and has been tested on a 44 patient dataset and 10 synthetic images. Segmentation and maximum diameter estimation were compared to manual tracing from 4 experts. An inter-observer study was performed in order to measure the variability range of a human observer. Based on three metrics (the maxim…

CT scanmedicine.medical_specialty[INFO.INFO-IM] Computer Science [cs]/Medical ImagingLumen (anatomy)Health Informatics02 engineering and technologyAAA segmentationPattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesAortic aneurysmImaging Three-Dimensional0302 clinical medicineCutmedicine.arteryImage Interpretation Computer-Assisted[INFO.INFO-IM]Computer Science [cs]/Medical Imaging0202 electrical engineering electronic engineering information engineeringmedicineHumansRadiology Nuclear Medicine and imagingSegmentationMathematicsAnalysis of VarianceRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingVolume segmentationAbdominal aortaReproducibility of Resultsmedicine.diseaseComputer Graphics and Computer-Aided DesignAbdominal aortic aneurysmHausdorff distancecardiovascular system020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionTomographyRadiologyTomography X-Ray ComputedAlgorithmsMagnetic Resonance AngiographyGraph cutAortic Aneurysm AbdominalMRI
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CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA

2011

Pyrosequencing technologies are frequently used for sequencing the 16S rRNA marker gene for metagenomic studies of microbial communities. Computing a pairwise genetic distance matrix from the produced reads is an important but highly time consuming task. In this paper, we present a parallelized tool (called CRiSPy) for scalable pairwise genetic distance matrix computation and clustering that is based on the processing pipeline of the popular ESPRIT software package. To achieve high computational efficiency, we have designed massively parallel CUDA algorithms for pairwise k-mer distance and pairwise genetic distance computation. We have also implemented a memory-efficient sparse matrix clust…

CUDADistance matrixComputer scienceMetagenomicsPipeline (computing)Pairwise comparisonParallel computingCluster analysisQuantitative Biology::GenomicsMassively parallelSparse matrix
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The mixed capacitated general routing problem with turn penalties

2011

In this paper we deal with the mixed capacitated general routing problem with turn penalties. This problem generalizes many important arc and node routing problems, and it takes into account turn penalties and forbidden turns, which are crucial in many real-life applications, such as mail delivery, waste collection and street maintenance operations. Through a polynomial transformation of the considered problem into a Generalized Vehicle routing problem, we suggest a new approach for solving this new problem by transforming it into an Asymmetric Capacitated Vehicle routing problem. In this way, we can solve the new problem both optimally and heuristically using existing algorithms. A powerfu…

Capacitated vehicle routing problemMathematical optimizationRouting problemsPolynomial transformationReal-life applicationsTurn penaltiesCapacitated general routing problemRouting algorithmsVehicle Routing ProblemsTransformationPolynomial transformationsArtificial IntelligenceVehicle routing problemDestination-Sequenced Distance Vector routingGeneral routing problemMathematicsta113Average deviationStatic routingWaste collectionNode (networking)General EngineeringSolution methodsMaintenance operationsVehicle routingComputer Science ApplicationsMemetic algorithmsBenchmark (computing)Network routingMemetic algorithmRouting (electronic design automation)MATEMATICA APLICADAAlgorithmsExpert Systems with Applications
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