Advanced Parallel Processing Technologies [[electronic resource] ] : 15th International Symposium, APPT 2023, Nanchang, China, August 4–6, 2023, Proceedings / / edited by Chao Li, Zhenhua Li, Li Shen, Fan Wu, Xiaoli Gong |
Autore | Li Chao |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (454 pages) |
Disciplina | 005.1 |
Altri autori (Persone) |
LiZhenhua
ShenLi WuFan GongXiaoli |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Software engineering
Operating systems (Computers) Computer systems Computers, Special purpose Artificial intelligence Software Engineering Operating Systems Computer System Implementation Special Purpose and Application-Based Systems Artificial Intelligence |
ISBN | 981-9978-72-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | High Performance Computing and Parallelized Computing -- Enhancing Multi-physics Coupling on ARM Many-core Cluster -- Polaris: Enhancing CXL-based Memory Expanders with Memory-side Prefetching -- ExtendLife: Weights Mapping Framework to Improve RRAM Lifetime for Accelerating CNN -- The Optimization of IVSHMEM Based on Jailhouse -- Multi-agent Cooperative Computing Resource Scheduling Algorithm for Periodic Task Scenarios -- Storage Systems and File Management -- CLMS: Configurable and Lightweight Metadata Service for Parallel File Systems on NVMe SSDs -- Combining Cache and Refresh to Optimize SSD Read Performance Scheme -- CCS: a Motif-based Storage Format for Micro-execution Dependence Graph -- Hydis: A Hybrid Consistent KVS with Effective Sync Among Replicas -- Networking and Cloud Computing -- An Automatic Deployment Method for Hybrid Cloud Simulation Platform -- Reliability Optimization Scheduling and Energy balancing for Real-time Application in Fog Computing Environment -- Federated Classification for Multiple Blockchain Systems -- Towards Privacy-Preserving Decentralized Reputation Management for Vehicular Crowdsensing -- Delay Optimization for Consensus Communication in Blockchain-Based End-Edge-Cloud Network -- Computer Architecture and Hardware Acceleration -- A Low-latency Hardware Accelerator for YOLO Object Detection Algorithms -- SCFM: a Statistical Coarse-to-Fine Method to Select Cross-Microarchitecture Reliable Simulation Points -- On-Demand Triggered Memory Management Unit in Dynamic Binary Translator -- MFHBT: Hybrid Binary Translation System with Multi-stage Feedback Powered by LLVM -- Step and Save: An Incentive Mechanism for Health Insurance Based on Wearable Technology -- Machine Learning and Data Analysis -- Spear-phishing Detection Method Based on Few-shot Learning -- Time Series Classification based on Data-Augmented Contrastive Learning.-From Ledger to P2P network: De-anonymization on Bitcoin Using Cross-layer Analysis -- Robust Online Crowdsourcing with Strategic Workers -- Distinguished Work from Student Competation -- New Filter2D Accelerator on the Versal Platform Powered by the AI Engine. |
Record Nr. | UNISA-996565870403316 |
Li Chao | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Advanced Parallel Processing Technologies : 15th International Symposium, APPT 2023, Nanchang, China, August 4–6, 2023, Proceedings / / edited by Chao Li, Zhenhua Li, Li Shen, Fan Wu, Xiaoli Gong |
Autore | Li Chao |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (454 pages) |
Disciplina | 005.1 |
Altri autori (Persone) |
LiZhenhua
ShenLi WuFan GongXiaoli |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Software engineering
Operating systems (Computers) Computer systems Computers, Special purpose Artificial intelligence Software Engineering Operating Systems Computer System Implementation Special Purpose and Application-Based Systems Artificial Intelligence |
ISBN | 981-9978-72-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | High Performance Computing and Parallelized Computing -- Enhancing Multi-physics Coupling on ARM Many-core Cluster -- Polaris: Enhancing CXL-based Memory Expanders with Memory-side Prefetching -- ExtendLife: Weights Mapping Framework to Improve RRAM Lifetime for Accelerating CNN -- The Optimization of IVSHMEM Based on Jailhouse -- Multi-agent Cooperative Computing Resource Scheduling Algorithm for Periodic Task Scenarios -- Storage Systems and File Management -- CLMS: Configurable and Lightweight Metadata Service for Parallel File Systems on NVMe SSDs -- Combining Cache and Refresh to Optimize SSD Read Performance Scheme -- CCS: a Motif-based Storage Format for Micro-execution Dependence Graph -- Hydis: A Hybrid Consistent KVS with Effective Sync Among Replicas -- Networking and Cloud Computing -- An Automatic Deployment Method for Hybrid Cloud Simulation Platform -- Reliability Optimization Scheduling and Energy balancing for Real-time Application in Fog Computing Environment -- Federated Classification for Multiple Blockchain Systems -- Towards Privacy-Preserving Decentralized Reputation Management for Vehicular Crowdsensing -- Delay Optimization for Consensus Communication in Blockchain-Based End-Edge-Cloud Network -- Computer Architecture and Hardware Acceleration -- A Low-latency Hardware Accelerator for YOLO Object Detection Algorithms -- SCFM: a Statistical Coarse-to-Fine Method to Select Cross-Microarchitecture Reliable Simulation Points -- On-Demand Triggered Memory Management Unit in Dynamic Binary Translator -- MFHBT: Hybrid Binary Translation System with Multi-stage Feedback Powered by LLVM -- Step and Save: An Incentive Mechanism for Health Insurance Based on Wearable Technology -- Machine Learning and Data Analysis -- Spear-phishing Detection Method Based on Few-shot Learning -- Time Series Classificationbased on Data-Augmented Contrastive Learning.-From Ledger to P2P network: De-anonymization on Bitcoin Using Cross-layer Analysis -- Robust Online Crowdsourcing with Strategic Workers -- Distinguished Work from Student Competation -- New Filter2D Accelerator on the Versal Platform Powered by the AI Engine. |
Record Nr. | UNINA-9910760277103321 |
Li Chao | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities [[electronic resource] ] : Second International Workshop, GRAIL 2018 and First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej Papiez, Mert R. Sabuncu, Li Shen |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XVI, 101 p. 26 illus.) |
Disciplina | 006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Computer science—Mathematics Artificial intelligence Algorithms Data structures (Computer science) Image Processing and Computer Vision Mathematics of Computing Artificial Intelligence Algorithm Analysis and Problem Complexity Data Structures and Information Theory |
ISBN | 3-030-00689-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity -- A Graph Representation and Similarity Measure for Brain Networks with Nodal Features -- Hierarchical Bayesian Networks for Modeling Inter-Class Dependencies: Application to Semi-Supervised Cell Segmentation -- Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion -- BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification -- Modeling Brain Networks with Artificial Neural Networks -- A Bayesian Disease Progression Model for Clinical Trajectories -- Multi-modal brain connectivity study using deep collaborative learning -- Towards Subject and Diagnostic Identifiability in the Alzheimer’s Disease Spectrum based on Functional Connectomes -- Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging -- Cross-Diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data. |
Record Nr. | UNISA-996466328703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities : Second International Workshop, GRAIL 2018 and First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej Papiez, Mert R. Sabuncu, Li Shen |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XVI, 101 p. 26 illus.) |
Disciplina |
006.37
616.0754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Computer vision
Computer science - Mathematics Artificial intelligence Algorithms Data structures (Computer science) Information theory Computer Vision Mathematics of Computing Artificial Intelligence Data Structures and Information Theory |
ISBN | 3-030-00689-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity -- A Graph Representation and Similarity Measure for Brain Networks with Nodal Features -- Hierarchical Bayesian Networks for Modeling Inter-Class Dependencies: Application to Semi-Supervised Cell Segmentation -- Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion -- BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification -- Modeling Brain Networks with Artificial Neural Networks -- A Bayesian Disease Progression Model for Clinical Trajectories -- Multi-modal brain connectivity study using deep collaborative learning -- Towards Subject and Diagnostic Identifiability in the Alzheimer’s Disease Spectrum based on Functional Connectomes -- Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging -- Cross-Diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data. |
Record Nr. | UNINA-9910349404203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics [[electronic resource] ] : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
ISBN | 3-319-67675-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466240403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
ISBN | 3-319-67675-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910484879103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Multimodal Brain Image Analysis [[electronic resource] ] : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XII, 260 p. 110 illus.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
ISBN | 3-319-02126-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analysis -- Methodologies -- Algorithms -- Software systems -- Validation approaches -- Benchmark datasets -- Neuroscience -- Clinical applications. |
Record Nr. | UNISA-996466014003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XII, 260 p. 110 illus.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
ISBN | 3-319-02126-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analysis -- Methodologies -- Algorithms -- Software systems -- Validation approaches -- Benchmark datasets -- Neuroscience -- Clinical applications. |
Record Nr. | UNINA-9910483674803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Multimodal Brain Image Analysis [[electronic resource] ] : Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012, Proceedings / / edited by Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XII, 226 p. 77 illus.) |
Disciplina | 616.8/04757 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
ISBN | 3-642-33530-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning -- Combining DTI and MRI for the Automated Detection of Alzheimer’s Disease Using a Large European Multicenter Dataset -- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults -- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment.-Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI -- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry -- Do We Really Need Robust and Alternative Inference Methods for Brain MRI -- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation -- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size -- A Generative Model for Probabilistic Label Fusion of Multimodal Data -- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction -- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.- Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS -- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration -- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.- Groupwise Segmentation Improves Neuroimaging Classification Accuracy -- DWI Denoising Using Spatial, Angular, and Radiometric Filtering.- MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm -- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling. . |
Record Nr. | UNISA-996465848803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy [[electronic resource] ] : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XVII, 230 p. 113 illus., 91 illus. in color.) |
Disciplina | 006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computers Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
ISBN | 3-030-33226-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction -- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Mapping the spatio-temporal functional coherence in the resting brain -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains -- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder -- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes -- Structural Similarity based Anatomical and Functional Brain Imaging Fusion -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- Surface Foliation Based Brain Morphometry Analysis -- Mixture Probabilistic Principal Geodesic Analysis -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- An as-invariant-as-possible GL+(3)-based Statistical Shape Model. |
Record Nr. | UNISA-996466177003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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