Entropy in Image Analysis II |
Autore | Sparavigna Amelia Carolina |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (394 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
image binarization
optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557433403321 |
Sparavigna Amelia Carolina
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Information Theory and Machine Learning |
Autore | Zheng Lizhong |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (254 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
ISBN | 3-0365-5308-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619463403321 |
Zheng Lizhong
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MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing Data Compression |
Autore | Lukin Vladimir |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (366 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
on-board data compression
CCSDS 123.0-B-2 near-lossless hyperspectral image compression hyperspectral image coding graph filterbanks integer-to-integer transforms graph signal processing compact data structure quadtree k2-tree k2-raster DACs 3D-CALIC M-CALIC hyperspectral images fully convolutional network semantic segmentation spectral image tensor decomposition HEVC intra coding JPEG 2000 high bit-depth compression multispectral satellite images crop classification Landsat-8 Sentinel-2 Elias codes Simple9 Simple16 PForDelta Rice codes hyperspectral scenes hyperspectral image lossy compression real time FPGA PCA JPEG2000 EBCOT multispectral hyperspectral CCSDS FAPEC data compression transform hyperspectral imaging on-board processing GPU real-time performance UAV parallel computing remote sensing image quality image classification visual quality metrics spectral–spatial feature multispectral image compression partitioned extraction group convolution rate-distortion compressed sensing invertible projection coupled dictionary singular value task-driven learning on board compression transform coding learned compression neural networks variational autoencoder complexity real-time compression on-board compression real-time transmission UAVs compressive sensing synthetic aperture sonar underwater sonar imaging remote sensing data compression lossless compression compression impact computational complexity |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557383103321 |
Lukin Vladimir
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Future of Hyperspectral Imaging |
Autore | Selci Stefano |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto non controllato |
information theoretic analysis
multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer–Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging |
ISBN | 3-03921-823-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367743103321 |
Selci Stefano
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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