Photography and Italy [[electronic resource] /] / Maria Antonella Pelizzari

• Record Nr.: UNINA9910461185603321
• Autore: Pelizzari Maria Antonella
• Pubbl/distr/stampa: London, : Reaktion Books, 2011
• ISBN: 1-283-13368-7; 9786613133687; 1-86189-884-3
• Descrizione fisica: 1 online resource (190 p.)
• Collana: Exposures
• Disciplina: 770.945 22; 779.9945
• Soggetti: Photography - Italy - History; Historiography; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Photography and Italy Cover; Imprint page; Contents; Introduction; one: Modern Pictures of an Ancient World; two: Risorgimento Mythologies; three: Romance of Stone and Steel; four: Amateurs and Professionals; five: Italian Modernities; six: Postwar Narratives; seven: The Margin of the Frame; eight: Alienation and Belonging; References; Select Bibliography; Acknowledgements; Photo Acknowledgements; Index
• Sommario/riassunto: In this beautifully illustrated book Maria Antonella Pelizzari traces the history of photography in Italy from its beginnings to the present as she guides us through the history of Italy and its ancient sites and Renaissance landmarks. Pelizzari specifically considers the role of photography in the formation of Italian national identity during times of political struggle, such as the lead up to Unification in 1860, and later in the nationalist wars of Mussolini's regime. While many Italians and foreigners- such as Fratelli Alinari or Carlo Ponti, John Ruskin or Kit Talbot-focused the

Military readiness : DOD needs to reassess program strategy, funding priorities, and risks for selected equipment

• Record Nr.: UNINA9910693733803321
• Pubbl/distr/stampa: Washington, D.C
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI / / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt

• Record Nr.: UNINA9910698641203321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• ISBN: 9789819916450; 9819916453
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (XXXVI, 714 p. 246 illus., 221 illus. in color.)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1793
• Disciplina: 745.05
• Soggetti: Pattern recognition systems; Machine learning; Social sciences - Data processing; Computer vision; Education - Data processing; Application software; Automated Pattern Recognition; Machine Learning; Computer Application in Social and Behavioral Sciences; Computer Vision; Computers and Education; Computer and Information Systems Applications
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Applications -- Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting -- ScriptNet: A Two Stream CNN for Script Identification in Camera-based Document Images -- Projected Entangled Pair State Tensor Network for Colour Image and Video Completion -- Artificial Neural Networks for Downbeat Estimation and Varying Tempo Induction in Music Signals -- FedSpam: Privacy Preserving SMS Spam Detection -- Point Cloud Completion with Difference-aware Point Voting -- External Knowledge and Data Augmentation Enhanced Model for Chinese Short Text Matching -- Improving Oracle Bone Characters Recognition via A CycleGAN-based Data Augmentation Method -- Local-Global Interaction and Progressive Aggregation for Video Salient Object Detection -- A Fast Stain Normalization Network for Cervical Papanicolaou Images -- MEW: Evading Ownership Detection Against Deep Learning Models -- Spatial-Temporal Graph Transformer for Skeleton-Based Sign Language Recognition -- Combining Traffic Assignment and Traffic Signal Control for Online Traffic Flow Optimization -- Convolve with Wind: Parallelized Line Integral Convolutional Network for Ultra Short-term Wind Power Prediction of Multi-wind Turbines -- BOTTOM-UP TRANSFORMER REASONING NETWORK FOR TEXT-IMAGE RETRIEVAL -- Graph Attention Mixup Transformer for Graph Classification -- Frequency Spectrum with Multi-head Attention for Face Forgery Detection -- Autoencoder-based Attribute Noise Handling Method for Medical Data -- A Machine-Reading-Comprehension Method for Named Entity Recognition in Legal Documents -- Cross-Modality Visible-Infrared Person Re-Identification with Multi-Scale Attention and Part Aggregation -- Bearing Fault Diagnosis based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions -- Automatic Language Identification for Celtic Texts -- Span Detection for Kinematics Word Problems -- Emotion-aided Multi-modal Personality Prediction System -- Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition -- Deep Global and Local Matching Network for Implicit Recommendation -- A Bi-Hemisphere Capsule Network Model for Cross-Subject EEG Emotion Recognition -- Attention 3D Fully Convolutional Neural Network for False Positive Reduction of Lung Nodule Detection -- A Novel Optimized Context-Based Deep Architecture for Scene Parsing -- Resnet-2D-ConvLstm: A means to extract features from Hyperspectral Image -- An application of MCDA methods in sustainable information systems -- Decision support system for sustainable transport development -- Image Anomaly Detection and Localization Using Masked Autoencoder -- Cross-domain Object Detection Model via Contrastive Learning with Style Transfer -- A Spatio-temporal Event Data Augmentation Method for Dynamic Vision Sensor -- FCFNet: a Network Fusing Color Features and Focal Loss for Diabetic Foot Ulcer Image Classification -- ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection -- Image Captioning with Local-Global Visual Interaction Network -- Rethinking Voxelization and Classification for 3D Object Detection -- GhostVec: Directly Extracting Speaker Embedding from End-to-End Speech Recognition Model using Adversarial Examples -- An End-to-End Chinese and Japanese Bilingual Speech Recognition Systems with Shared Character Decomposition -- An Unsupervised Short- and Long-; Term Mask Representation for Multivariate Time Series Anomaly Detection -- Investigating Effective Domain Adaptation Method for Speaker Verification Task -- Real-time inertial foot-ground contact detection based on SVM -- Channel Spatial Collaborative Attention Network for Fine-grained Classification of Cervical Cells -- Multimodal Learning of Audio-visual Speech Recognition with Liquid State Machine -- Identification of Fake News: A Semantic Driven Technique for Transfer Domain -- Portrait Matting Network with Essential Feature Mining and Fusion -- Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT -- Double Attention-based Lightweight Network for Plant Pest Recognition -- A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion -- Sequential Recommendation based on Multi-View Graph Neural Networks -- Cross-Domain Reinforcement Learning for Sentiment Analysis -- PPIR-Net: An Underwater Image Restoration Framework Using Physical Priors -- Denoising fMRI Message on Population Graph for Multi-site Disease Prediction -- CATM: Candidate-aware Temporal Multi-head Self-attention News Recommendation Model -- Variational Graph Embedding for Community Detection -- Counterfactual Causal Adversarial Networks for Domain Adaptation.
• Sommario/riassunto: The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.