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1. |
Record Nr. |
UNINA990000955330403321 |
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Autore |
Partito comunista italiano |
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Titolo |
La ricerca scientifica e la società italiana : atti del Convegno nazionale del PCI : Ariccia, 20-22 marzo 1970 |
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Pubbl/distr/stampa |
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Roma : Direzione PCI, 1970 |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISALENTO991000475079707536 |
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Titolo |
La ricerca socio-economica tra politiche pubbliche, interessi economici e società civile / a cura di Filippo Barbera ; scritti di Filippo Barbera, Gianluca Busilacchi ...[et alt.] |
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Pubbl/distr/stampa |
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Milano : Franco Angeli, 2009 |
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ISBN |
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Descrizione fisica |
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Collana |
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Sociologia del lavoro dell'economia e dell'organizzazione AIS-ELO ; 114 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Economia e società |
Società - Ricerca - Metodo |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910506383503321 |
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Titolo |
Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III / / edited by Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (648 pages) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 13021 |
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Disciplina |
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Soggetti |
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Computer vision |
Artificial intelligence |
Computer engineering |
Computer networks |
Application software |
Computer Vision |
Artificial Intelligence |
Computer Engineering and Networks |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Low-level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- Single Image Specular Highlight Removal on Natural Scenes -- Document image binarization using visibility detection and point cloud segmentation -- LF-MAGNet: Learning |
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Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- Scale-aware Distillation Network for Lightweight Image Super-Resolution -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- Relational Attention with Textual Enhanced Transformer For Image Captioning -- Non-local Network Routing for Perceptual Image Super-Resolution -- Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition -- An Enhanced Multi-Frequency Learned Image Compression Method -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- Illumination-Aware Image Quality Assessment for Enhanced Low-light Image -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- Image Outpainting with Depth Assistance -- Light-weight Multi-channel Aggregation Network for Image Super-resolution -- Slow Video Detection Based on Spatial-temporal Feature Representation -- Biomedical Image Processing and Analysis -- The NL-SC Net for Skin Lesion Segmentation -- Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement -- Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images -- A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks -- Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module -- Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data -- Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature -- Interactive Attention Sampling Network for Clinical Skin Disease Image Classification -- Cross-Model Attention Method for Medical Image Enhancement -- Multi-modal Face Anti-Spoofing based on a Single Image -- Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing -- Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion -- HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration -- Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer’s Disease Analysis -- Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer’s Disease Prediction -- Model-based gait recognition using graph network with pose sequences -- Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic -- Deep-based Super-angular Resolution for Diffusion Imaging -- A Multiple Scale Encoders Network for Stroke Lesion Segmentation -- Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection -- Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation -- DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence -- Face Anti-Spoofing Based on Cooperative Pose Analysis -- A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment -- Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID -- Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling -- Multi-Branch Multi-Task 3D-CNN for Alzheimer’s Disease Detection. |
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Sommario/riassunto |
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The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes |
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the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. |
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