Features Extraction
Multiple features extraction and selection for detection and classification of stator winding faults
... multiple features extraction techniques, where Park transform, zero crossing time signal, and the envelope are extracted from the three-phase stator ...statistical features are calculated from time ...
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Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity
... Unsupervised Features Extraction from Asynchronous Silicon Retina through Spike-Timing-Dependent Plasticity Olivier Bichler, Damien Querlioz, Simon ...correlated features directly from spike-based ...
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LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSIS
... visual features; texture+depth; viewpoint invariance ...visual features aim at representing distinctive image details, and are a convenient way to match different instances of the same or very similar ...
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TRISK: A local features extraction framework for texture-plus-depth content matching
... local features extraction from grayscale texture-plus-depth ...local features, we target image matching applica- tions when significant out-of-plane rotations and viewpoint position changes are ...
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Intangible features extraction in the processing of abstract concepts: Evidence from picture-word priming
... instance, Wilson-Mendenhall, Martin, Simmons and Barsalou (2013) performed a task requir- ing deep conceptual processing of abstract concepts such as convince [ 32 ]. They observed neu- ral activation patterns of ...
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Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images
... extract features that allow discriminating normal and cancer ...contrast features characterized by abrupt changes in image texture with directional properties (see examples in Figures 1 , 2 , and 3 ...
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Machine tool volumetric error features extraction and classification using principal component analysis and K-means
... Keywords: machine tools; volumetric errors; feature extraction; feature classification; principal component analysis; K-means 1. Introduction Modern manufacturing demands high machining productivity and high ...
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Video Quality Model based on a spatiotemporal features extraction for H.264-coded HDTV sequences
... tures extraction is a bit more computationally complex but may be done ...provide features on spatio- temporal bitrate repartition over the ...Such features are used to adjust bitrate-predicted ...
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Extraction d'Information Non Supervisée à Partir de Textes – Extraction et Regroupement de Relations entre Entités
... information extraction in open domain gains more and more importance recently by loosening the constraints on the strict definition of the extracted information and allowing to design more open information ...
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Identification of photoluminescence features of an epoxy resin based on components features and curing effects
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...
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Learning with infinitely many features
... 4.1 ADMM algorithm for the restricted master problem The restricted master problem can be considered as a classical multi-task learning problem with sparsity-inducing regularizers. Several algorithms for solving such a ...
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Combining C-value and Keyword Extraction Methods for Biomedical Terms Extraction
... Term Extraction This section describes the baselines measures and their customizations as well as the new combina- tions of these measures that we propose for au- tomatic biomedical terms extraction and ...
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Topology Verification for Isosurface Extraction Topology Verification for Isosurface Extraction
... geometrical properties of isosurface extraction codes. By writing down the convergence properties that each technique should exhibit, one can quickly identify subtle bugs in isosurfacing codes that had not until ...
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Représentation et extraction de connaissances
... L’exploration de données =fouille de données =forage de données = prospection de données =data mining = extraction de connaissances Synonymes... a pour objet l’extraction d'un savoir ou [r] ...
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Extraction de Localisations dans les MicroBlogs
... 4 – Efficacité de l’algorithme Ritter pour les collections Ritter et MSM2013 en termes de Rappel, Précision, mesure F, sur l’ensemble de tests tel que décrit dans le Tableau 1 et les twe[r] ...
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Extraction de Localisations dans les MicroBlogs
... Dans ce article, nous présentons un modèle pour prédire si un microblog (tweet) contient une localisation ou non et nous montrons que cette prédiction améliore l’efficacité de l’extracti[r] ...
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Distinguishing the relevant features of frequent suicide attempters.: Features of frequent suicide attempters
... An intervention directed to all attempters after self-harm or suicidal behaviours has been suggested to be the only method for achieving a reduction of suicide risk (Owens et al., 2002[r] ...
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Multiscale Extraction and Representation of Features from Medical Images
... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, Ir[r] ...
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Extraction de données à partir du Web
... Les résultats de l'extraction de notre approche démontrent une importance en matière de précision d ' extraction et une meilleure performance dans le processus d'ap[r] ...
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Renal extraction of cystatin C
... 1 Department of Nephrology and 2 Department of Clinical Chemistry University of Liège CHU Sart Tilman Liège, Belgium 3 Department of Physiology University of Paris 5 René Descartes HEGP AP-HP, Paris France Sir, Cystatin ...
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