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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
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segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Action Recognition
| Deep Learning-Based Action Recognition |
| Autore | Lee Hyo Jong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human action recognition
graph convolution high-order feature spatio-temporal feature feature fusion dynamic gesture recognition multi-modalities network class regularization 3D-CNN spatiotemporal activations class-specific features Dynamic Hand Gesture Recognition human-computer interaction hand shape features pose estimation stacked hourglass network deep learning convolutional receptive field hand gesture recognition human-machine interface artificial intelligence feedforward neural networks spatio-temporal image formation human activity recognition fusion strategies transfer learning activity recognition data augmentation multi-person pose estimation partitioned centerpose network partition pose representation continuous hand gesture recognition gesture spotting gesture classification multi-modal features 3D skeletal CNN spatiotemporal feature embedded system real-time action recognition Long Short-Term Memory spatio-temporal differential |
| ISBN | 3-0365-5200-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465803321 |
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Lee Hyo Jong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human Pose Estimation with Implicit Shape Models
| Human Pose Estimation with Implicit Shape Models |
| Autore | Brauer Jürgen |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2014 |
| Descrizione fisica | 1 electronic resource (XVIII, 264 p. p.) |
| Collana | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung |
| Soggetto non controllato |
Computer vision
Bildverarbeitung Human pose estimation action recognition AktionserkennungScene understanding Szenenverstehen Menschliche Posenschätzung |
| ISBN | 1000039083 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346706003321 |
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Brauer Jürgen
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| KIT Scientific Publishing, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image and Video Processing and Recognition Based on Artificial Intelligence
| Image and Video Processing and Recognition Based on Artificial Intelligence |
| Autore | Park Kang Ryoung |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (431 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
emotion recognition
brain computer interface bag of deep features continuous wavelet transform face image analysis deep learning face parsing facial attributes classification building extraction convolutional neural networks mask R-CNN high-resolution remote sensing image autoencoders semi-supervised learning computer vision pathology epidermis skin image processing generative models generative adversarial net depth map super-resolution guidance residual network channel interaction pose estimation body orientation multi-person multi-task surface defect detection active learning generative adversarial network presentation attack detection artificial image generation presentation attack face images ultrasound image malignant thyroid nodule artificial intelligence weighted binary cross-entropy loss infrared circumferential scanning system target recognition deep convolutional neural networks data augmentation transfer learning bounding box regression loss function medical image fusion convolutional neural network image pyramid multi-scale decomposition armature surface inspection action recognition social robotics common spatial patterns vehicle recognition multi resolution network optimization semantic segmentation global context local context fully convolutional networks image-to-image conversion image de-raining label to photos edges to photos generative adversarial network (GAN) remote sensing helicopter footage crowd counting multitask learning normalized cross-correlation Marr wavelets entropy and response graph matching RANSAC GC–LSTM model typhoon satellite image prediction system monocular depth estimation feature distillation joint attention finger-vein recognition camera position finger position lighting unobserved database heterogeneous database domain adaptation cycle-consistent adversarial networks SDUMLA-HMT-DB HKPolyU-DB biometrics face recognition single-sample face recognition binarized statistical image features K-nearest neighbors sparse coding fast approximation homotopy iterative hard thresholding object recognition character recognition orthogonal polynomials orthogonal moments Krawtchouk polynomials Tchebichef polynomials support vector machine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557371203321 |
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Park Kang Ryoung
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Topologies and Algorithms for Neural Networks
| Innovative Topologies and Algorithms for Neural Networks |
| Autore | Xibilia Maria Gabriella |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
facial image analysis
facial nerve paralysis deep convolutional neural networks image classification Chinese text classification long short-term memory convolutional neural network Arabic named entity recognition bidirectional recurrent neural network GRU LSTM natural language processing word embedding CNN object detection network attention mechanism feature fusion LSTM-CRF model elements recognition linguistic features POS syntactic rules action recognition fused features 3D convolution neural network motion map long short-term-memory tooth-marked tongue gradient-weighted class activation maps ship identification fully convolutional network embedded deep learning scalability gesture recognition human computer interaction alternative fusion neural network deep learning sentiment attention mechanism bidirectional gated recurrent unit Internet of Things convolutional neural networks graph partitioning distributed systems resource-efficient inference pedestrian attribute recognition graph convolutional network multi-label learning autoencoders long-short-term memory networks convolution neural Networks object recognition sentiment analysis text recognition IoT (Internet of Thing) systems medical applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557553903321 |
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Xibilia Maria Gabriella
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning in Image Analysis and Pattern Recognition
| Machine Learning in Image Analysis and Pattern Recognition |
| Autore | Kumar Munish |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (112 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
machine learning
deep learning image processing classification tea fermentation automated image coding data collection methods interdisciplinary learning theory research methods systematic literature review visitor use management image classification multi-instance learning divergence dissimilarity bag-to-class Kullback–Leibler segment-based temporal modeling two-stream network action recognition internet of things detection dataset plant disease recognition image segmentation aphid Aphoidea lemon breast cancer mammogram dataset ultrasound breast cancer scans BI-RADS clinical data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557522603321 |
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Kumar Munish
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Machine Learning for Human Behaviour Analysis
| Statistical Machine Learning for Human Behaviour Analysis |
| Autore | Moeslund Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (300 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
multi-objective evolutionary algorithms
rule-based classifiers interpretable machine learning categorical data hand sign language deep learning restricted Boltzmann machine (RBM) multi-modal profoundly deaf noisy image ensemble methods adaptive classifiers recurrent concepts concept drift stock price direction prediction toe-off detection gait event silhouettes difference convolutional neural network saliency detection foggy image spatial domain frequency domain object contour detection discrete stationary wavelet transform attention allocation attention behavior hybrid entropy information entropy single pixel single photon image acquisition time-of-flight action recognition fibromyalgia Learning Using Concave and Convex Kernels Empatica E4 self-reported survey speech emotion recognition 3D convolutional neural networks k-means clustering spectrograms context-aware framework accuracy false negative rate individual behavior estimation statistical-based time-frequency domain and crowd condition emotion recognition gestures body movements Kinect sensor neural networks face analysis face segmentation head pose estimation age classification gender classification singular point detection boundary segmentation blurring detection fingerprint image enhancement fingerprint quality speech committee of classifiers biometric recognition multimodal-based human identification privacy privacy-aware |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288403321 |
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Moeslund Thomas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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