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Palabras clave – provistas por la editorial

CIELab; component Substitution; Pan sharpening; Pléiades VHR Image; coal; inertinite macerals; classification; multifractal analysis; support vector machine; block-based coding; video coding; H.265/HEVC; affine motion compensation; image registration; homography matrix; local homography transformation; convolutional neural network; moving direct linear transformation; super-resolution (SR); convolution neural network (CNN); Gene Expression Programming (GEP); deep learning; image preclassification; suspicious behavior detection; motion; magnitude; gradient; reactivity; saliency; haze removal; dark channel; atmospheric-light estimation; coarse-to-fine search strategy; sparse dictionary; stable recovery; frame; RIP; local dimming; retinex theory; bi-histogram equalization; contrast ratio; details preservation; pansharpening; image fusion; image quality; Satellite Pour l’Observation de la Terre (SPOT) 6; spectral consistency; spatial consistency; synthesis; artificial intelligence; dental application; images; detection; parseval frame; transform; sparse representation; octave convolution; bilingual scene text reading; Ethiopic script; attention; nasal cytology; automatic cell segmentation; rhinology; image analysis; feature extraction; shape context; plant recognition; DPCNN; BOF; numeral spotting; historical document analysis; convolutional neural networks; deep transfer learning; handwritten digit recognition; spectrum correction; intensity correction; compressed sensing; tradeoff process; IKONOS; remote sensing; fine-tuning; learning rate scheduler; cyclical learning rates; label smoothing; classification accuracy; neural networks; salient object detection; RGB-D; object detection; small object; multi-scale sampling; balanced sampling; texture; structure; optical; coke; iron ore; sinter; image processing; segmentation; identification; action recognition; silhouette sequences; shape features; ambient assisted living; active ageing; n/a