Search results for "Artificial intelligence"

showing 10 items of 6122 documents

Terrain data compression using wavelet-tiled pyramids for online 3D terrain visualization

2013

Last years have witnessed the widespread use of online terrain visualization applications. However, the significant improvements achieved in sensing technologies have allowed an increasing size of the terrain databases. These increasing sizes represent a serious drawback when terrain data must be transmitted and rendered at interactive rates. In this paper, we propose a novel wavelet-tiled pyramid for compressing terrain data that replaces the traditional multiresolution pyramid usually used in wavelet compression schemes. The new wavelet-tiled pyramid modifies the wavelet analysis and synthesis processes, allowing an efficient transmission and reconstruction of terrain data in those applic…

business.industryGeography Planning and DevelopmentComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformTerrainData_CODINGANDINFORMATIONTHEORYcomputer.file_formatTerrain renderingLibrary and Information SciencesVisualizationWaveletGeographyComputer graphics (images)JPEG 2000Computer visionArtificial intelligencePyramid (image processing)businesscomputerComputingMethodologies_COMPUTERGRAPHICSInformation SystemsData compressionInternational Journal of Geographical Information Science
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High Order Textural Classification of Two SAR ERS Images on Mount Cameroon

2006

Abstract Many researchers have demonstrated that textural data increase the precision of a classification when they are combined with level of grey information. However, the calculation of textural parameters of order two is often too long in a computer. The problem is more complex when one must compute higher order textural parameters, which however can considerably improve the precision of a classification. This work is based on statistical methods of order two and three for the calculation of textural parameters [Akono et al., 2003]. In this work, we suggest a new method of calculation of textural parameters, which is more general, not limiting itself only on order two or three, but whic…

business.industryGeography Planning and DevelopmentPattern recognitionLimitingFunction (mathematics)Type (model theory)Matrix (mathematics)GeographySimple (abstract algebra)Computer visionArtificial intelligenceHigh orderbusinessWater Science and TechnologyGeocarto International
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Adaptation of a German Multidimensional Networking Scale into English

2011

Networking refers to building and maintaining personal contacts in order to obtain resources that, in turn, enhance one’s career success and work performance. This study reports the translation and adaptation of a multifaceted German networking scale ( Wolff & Moser, 2006 ) into English and focuses on the equivalence of the two language versions. Going beyond the often used translation-backtranslation method, we used a parallel translation-backtranslation method in combination with two expert committees to arrive at the English scale version, aiming to obtain at least structural equivalence. We utilize a bilingual sample (N = 76) as well as monolingual samples from the US (N = 174) and…

business.industryHOLTest adaptationcomputer.software_genreDifferential item functioninglanguage.human_languageWork performanceGermanlanguageArtificial intelligenceMultidimensional scalingEquivalence (formal languages)businessPsychologySocial psychologycomputerApplied PsychologyNatural language processingEuropean Journal of Psychological Assessment
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GHOST: GRADIENT HISTOGRAM OF SPECTRAL TEXTURE

2021

International audience; A gradient-based texture feature for hyperspectral image is formulated with straightforward application to grayscale and color images. Processed in full band, GHOST is expressed as a four-dimensional probability density distribution encompassing joint metrological assessment of spectral and spatial properties. Its performance is close to Opponent Band Local Binary Pattern (OBLBP) in HyTexiLa texture classification (91 %-99 % accuracy) with feature size 0.2 % of OBLBP's.

business.industryHyperspectral imagingPattern recognitionGrayscaleTexture (geology)MetrologyImage (mathematics)gradientmetrology[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Feature (computer vision)HistogramComputer Science::Computer Vision and Pattern Recognition[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]spectralGraphical modelArtificial intelligencebusinesstextureMathematics
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Inference of Spatiotemporal Processes over Graphs via Kernel Kriged Kalman Filtering

2018

Inference of space-time signals evolving over graphs emerges naturally in a number of network science related applications. A frequently encountered challenge pertains to reconstructing such dynamic processes given their values over a subset of vertices and time instants. The present paper develops a graph-aware kernel-based kriged Kalman filtering approach that leverages the spatio-temporal dynamics to allow for efficient online reconstruction, while also coping with dynamically evolving network topologies. Laplacian kernels are employed to perform kriging over the graph when spatial second-order statistics are unknown, as is often the case. Numerical tests with synthetic and real data ill…

business.industryInference020206 networking & telecommunicationsNetwork science02 engineering and technologyKalman filterNetwork topologyMachine learningcomputer.software_genreGraphKriging0202 electrical engineering electronic engineering information engineeringArtificial intelligenceNumerical testsbusinessAlgorithmLaplace operatorcomputerMathematics
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Number transcoding in children: A functional analysis

1994

French-speaking second-grade children from France and Wallonia were asked to write down in the Arabic code, numbers orally presented at six successive one-month-spaced sessions. The evolution of the children's production (patterns of correct responses and errors) is analysed and tentatively interpreted through the model of number and calculation processing developed by McCloskey in adult neuropsychology. In order to evaluate their number production and comprehension mechanisms the children were furthermore submitted to other number processing tasks. It is tentatively concluded that the children's difficulties in the Arabic written task were localized at the level of the production of the Ar…

business.industryInformation processingNeuropsychologyCognitioncomputer.software_genreDevelopmental psychologyTask (project management)ComprehensionDevelopmental NeuroscienceDevelopmental and Educational PsychologyCode (cryptography)Cognitive developmentProduction (computer science)Artificial intelligencebusinessPsychologycomputerNatural language processingBritish Journal of Developmental Psychology
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Evidentials and Epistemic Modality

2018

Abstract This chapter deals with the relation between the notional domains of information source and epistemic modality. It surveys various approaches to this relation and the cross-linguistic patterns of the way in which linguistic units (of diverse formats) with evidential or epistemic meanings develop extensions whereby they encroach into each other’s domains. Meaning extensions in either direction can adequately be captured, and confusion between both domains can be avoided, only if in the analysis of the meaning of such units (a) an onomasiological and semasiological perspective and (b) a coded-inferred divide are distinguished. Thus, epistemic extensions often arise as Generalized Con…

business.industryInformation sourceEpistemic modalityArtificial intelligencebusinessPsychologycomputer.software_genrecomputerReliability (statistics)Natural language processing
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Applying logistic regression to relevance feedback in image retrieval systems

2007

This paper deals with the problem of image retrieval from large image databases. A particularly interesting problem is the retrieval of all images which are similar to one in the user's mind, taking into account his/her feedback which is expressed as positive or negative preferences for the images that the system progressively shows during the search. Here we present a novel algorithm for the incorporation of user preferences in an image retrieval system based exclusively on the visual content of the image, which is stored as a vector of low-level features. The algorithm considers the probability of an image belonging to the set of those sought by the user, and models the logit of this prob…

business.industryIterative methodLinear modelRelevance feedbackPattern recognitioncomputer.software_genreImage (mathematics)Set (abstract data type)Artificial IntelligenceSignal ProcessingRelevance (information retrieval)Computer Vision and Pattern RecognitionArtificial intelligenceData miningbusinessCluster analysisImage retrievalcomputerSoftwareMathematicsPattern Recognition
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FAST EDGE-FILTERED IMAGE UPSAMPLING.

2011

We present a novel edge preserved interpolation scheme for fast upsampling of natural images. The proposed piecewise hyperbolic operator uses a slope-limiter function that conveniently lends itself to higher-order approximations and is responsible for restricting spatial oscillations arising due to the edges and sharp details in the image. As a consequence the upsampled image not only exhibits enhanced edges, and discontinuities across boundaries, but also preserves smoothly varying features in images. Experimental results show an improvement in the PSNR compared to typical cubic, and spline-based interpolation approaches.

business.industryIterative reconstructionClassification of discontinuitiesEdge detectionArticleUpsamplingSpline (mathematics)PiecewiseComputer visionArtificial intelligenceFlux limiterbusinessImage resolutionMathematicsProceedings. International Conference on Image Processing
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Latent Semantic Description of Iconic Scenes

2005

It is proposed an approach for the automatic description of scenes using a LSA–like technique. The described scenes are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour and position. Each scene is related to a set of sentences describing their content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. A new scene can be mapped in this created space accordingly to a suitable metric. Preliminary experimental results show the effectiveness of the procedure.

business.industryLatent semantic analysisComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScene statisticsSpace (commercial competition)SemanticsSet (abstract data type)Metric (mathematics)Computer visionArtificial intelligenceRepresentation (mathematics)businessSentenceComputingMethodologies_COMPUTERGRAPHICS
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