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Advances in Image and Graphics Technologies : Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings / / edited by Tieniu Tan, Qiuqi Ruan, Xilin Chen, Huimin Ma, Liang Wang
| Advances in Image and Graphics Technologies : Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings / / edited by Tieniu Tan, Qiuqi Ruan, Xilin Chen, Huimin Ma, Liang Wang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 340 p. 196 illus.) |
| Disciplina |
006.6
006.37 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Pattern perception Computer graphics |
| Soggetto genere / forma | Conference papers and proceedings. |
| Soggetto non controllato |
Graphics technologies
IGTA |
| ISBN | 3-642-37149-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Real-Time Non-invasive Imaging of Subcutaneous Blood Vessels -- The Electronic Countermeasures Optimization Based on PCA and Multiple Regression Analysis -- A Digital Watermarking Algorithm Based on EHD Image Feature Analysis -- TLD Based Visual Target Tracking for Planetary Rover Exploration -- Ocean Surface Rendering Using Shader Technologies -- The ART2 Neural Network Based on the Adaboost Rough Classification -- An Unsymmetrical Diamond Search Algorithm for H.264/AVC Motion Estimation -- A New Fusion Method of Palmprint and Palmvein -- A Fatigue Testing Method Based on Machine Vision. |
| Record Nr. | UNINA-9910437572203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
| Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIII, 621 p. 274 illus.) |
| Disciplina | 006.37 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer simulation Data mining Information storage and retrieval Image Processing and Computer Vision Artificial Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 981-10-7302-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological vision inspired visual method -- Biomedical image analysis -- Computer vision applications -- Deep neural network -- Face and posture analysis -- Image and video retrieval -- Image color and texture -- Image composition -- Image quality assessment and analysis -- Image restoration -- Image segmentation and classification -- Image-based modeling -- Object detection and classification -- Object identification -- Photography and video -- Robot vision -- Shape representation and matching -- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection. |
| Record Nr. | UNINA-9910254837603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
| Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIII, 729 p. 345 illus.) |
| Disciplina | 006.37 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer simulation Data mining Information storage and retrieval Image Processing and Computer Vision Artificial Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 981-10-7305-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological vision inspired visual method -- Biomedical image analysis -- Computer vision applications -- Deep neural network -- Face and posture analysis -- Image and video retrieval -- Image color and texture -- Image composition -- Image quality assessment and analysis -- Image restoration -- Image segmentation and classification -- Image-based modeling -- Object detection and classification -- Object identification -- Photography and video -- Robot vision -- Shape representation and matching -- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection. |
| Record Nr. | UNINA-9910254843903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
| Computer Vision : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 771 p. 373 illus.) |
| Disciplina | 006.37 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer simulation Data mining Information storage and retrieval Pattern perception Image Processing and Computer Vision Artificial Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Information Storage and Retrieval Pattern Recognition |
| ISBN | 981-10-7299-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological vision inspired visual method -- Biomedical image analysis -- Computer vision applications -- Deep neural network -- Face and posture analysis -- Image and video retrieval.-Image color and texture -- Image composition -- Image quality assessment and analysis -- Image restoration -- Image segmentation and classification -- Image-based modeling -- Object detection and classification -- Object identification -- Photography and video -- Robot vision -- Shape representation and matching -- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection. |
| Record Nr. | UNINA-9910254837503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision : CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II / / edited by Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao
| Computer Vision : CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II / / edited by Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 472 p. 231 illus.) |
| Disciplina | 006.37 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Pattern perception Image Processing and Computer Vision Artificial Intelligence Pattern Recognition |
| ISBN | 3-662-48570-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer vision -- Machine learning -- Pattern recognition -- Target recognition.-Object detection -- Target tracking -- Image segmentation -- Image restoration.-Face recognition -- Image classification. |
| Record Nr. | UNINA-9910298961903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision : CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I / / edited by Honbin Zha, Xilin Chen, Liang Wang, Qiguang Miao
| Computer Vision : CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I / / edited by Honbin Zha, Xilin Chen, Liang Wang, Qiguang Miao |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XX, 462 p. 200 illus. in color.) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Pattern perception Image Processing and Computer Vision Artificial Intelligence Pattern Recognition |
| ISBN | 3-662-48558-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Organizers -- Contents - Part I -- Contents - Part II -- Fusion Technique for Infrared and Visible Images Based on Improved Quantum Theory Model -- 1 Introduction -- 2 Traditional Quantum Theory Model -- 3 Proposed Fusion Technique -- 3.1 Improved Quantum Theory Model -- 3.2 Concrete Fusion Algorithm -- 4 Experimental R Results and Discussion -- 5 Conclusions -- References -- Skeleton-Based Human Action Recognition with Profile Hidden Markov Models -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Representation of Meaningful Action Units -- 3.2 Clustering Feature Using Unsupervised Learning -- 3.3 Profile HMMs for Temporal Alignment of Human Motion -- 4 Experimental Evaluation -- 4.1 Evaluation Settings -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning -- 1 Introduction -- 2 Related Work -- 2.1 Internal Statistics and Blur Kernel Estimation -- 2.2 Coupled Dictionary Learning -- 3 Proposed Approach -- 3.1 Blind Kernel Estimation with SPP -- 3.2 SR Recovery -- 4 Experimental Results -- 4.1 Comparisons for BKE -- 5 Conclusion -- References -- Two-layers Local Coordinate Coding -- 1 Introduction -- 2 Prior Art -- 3 Two-Layers Local Coordinate Coding -- 3.1 Lipschitz Smoothness -- 3.2 Two-layers Coordinate Coding -- 4 Two-Layers Coding Formulation -- 4.1 First-Layer Formulation -- 4.2 Second-Layer Formulation -- 5 Experiment Verification -- 5.1 Quantitative Results -- 5.2 Applications in Robotics -- 6 Conclusions -- References -- A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic -- 1 Introduction -- 2 The Proposed Lunar Surface Image Mosaic Algorithm -- 2.1 Graph Matching Based Image Registration -- Feature Extraction. -- Feature Correspondence.
Image Transformation and Interpolation. -- 2.2 Energy Minimization Based Image Stitching -- Exposure Compensation. -- Pixel Labelling. -- Gradient Reconstruction. -- 3 Experiment -- 4 Conclusion -- References -- A Real Time Robust Hand Tracking Method with Normal Cameras -- 1 Introduction -- 2 Efficient Tracking Framework -- 2.1 Initial Hand Detection -- 2.2 Segmentation Module -- 2.3 Tracking Module -- 3 Enhancements for Robust Tracking -- 3.1 Failure Compensation -- 3.2 Adaptive Threshold Segmentation -- 3.3 Interference Alert/Mitigation -- 4 Tracking Performance -- 4.1 Evaluation Setup -- 4.2 Tracking Efficiency -- 4.3 Tracking Robustness -- 5 Conclusions -- References -- Hypergraph Regularized Autoencoder for 3D Human Pose Recovery -- 1 Introduction -- 2 Hypergraph Regularized Autoencoder -- 2.1 Marginalized Denoising Autoencoders -- 2.2 Manifold Regularization -- 2.3 Hypergraph Optimization -- 3 Experimental Evaluation -- 3.1 Datasets and Settings -- 3.2 Optimization of Autoencoders -- 3.3 Comparison with State-of-the-Arts -- 4 Conclusion -- References -- Target Recognition Based on Feature Weighted Intuitionistic FCM -- 1 Introduction -- 2 Algorithm for Feature Weighted Intuitionistic Fuzzy -- means Clustering -- 3 Experimental Results and Analysis -- 3.1 FWIFCM Algorithm's Clustering Experiment -- 3.2 Target Recognition Simulation Instance Based on the Algorithm of FWIFCM -- 4 Conclusions -- References -- The Modified Mumford-Shah Model Based on Nonlocal Means Method for Textures Segmentation -- 1 Introduction -- 2 The Mumford-Shah Model -- 3 The Modified Mumford-Shah Model Based on Nonlocal Means Method -- 3.1 Nonlocal Operators -- 3.2 The Proposed Model -- 4 Experiment and Analysis -- 5 Conclusions -- References -- Segmentation-Based Salient Object Detection -- 1 Introduction -- 2 Method -- 2.1 Salient Object Detection with Segmentation. 2.2 A New Dataset Labeled with Hierarchical Salient Objects -- 3 Experimental Results -- 4 Conclusion and Discussion -- References -- Non-uniform Motion Deblurring Using Normalized Hyper Laplacian Prior -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Framework of Efficient Filter Flow -- 3.2 Normalized Hyper Laplacian Prior in EFF -- 3.3 Removing Poorly Estimated Blur Kernels -- 3.4 Re-estimating Erroneous Local Kernels -- 4 Numerical Experiments -- 5 Conclusion -- References -- Robust Mean Shift Tracking Based on Refined Appearance Model and Online Update -- 1 Introduction -- 2 Mean Shift Tracking Algorithm -- 3 The Proposed Tracking Algorithm -- 3.1 Simple Tracking -- 3.2 Model Construction -- 3.3 Tracking with Refined Model -- 3.4 Model Update -- 3.5 Summary of the Whole Algorithm -- 4 Experiments -- 5 Discussion -- 6 Conclusion -- References -- An Effective Multiview Stereo Method for Uncalibrated Images -- 1 Introduction -- 2 Overview -- 3 Match Expansion -- 4 Point-Cloud Expansion -- 4.1 Optimization -- 4.2 Expansion -- 5 Experimental Results and Comparisons -- 6 Conclusion -- References -- The Human Image Segmentation Algorithm Based on Face Detection and Biased Normalized Cuts -- 1 Introduction -- 2 Related Work -- 2.1 Face Detection -- 2.2 Human Image Segmentation -- 3 Our Algorithm Based on Face Detection and Biased Normalized Cuts -- 4 Analysis and Experiments -- 5 Conclusions and Future Work -- References -- Survey on Eye Movement Based Authentication Systems -- 1 Introduction -- 2 Eye Movement Based Authentication Framework and Technical Modules -- 3 Cases Study -- 3.1 FBI + APM + KBID -- 3.2 FBI + GPM + KBID -- 3.3 FBI + GPM + BBID -- 3.4 SBI + APM + KBID -- 3.5 SBI + GPM + BBID -- 4 Discussion -- 4.1 Fixation vs. Saccade -- 4.2 APM vs. GPM and KBID vs. BBID. 4.3 Summary and Comparison of State-of-the-Art EMBA Systems Technical Details -- 5 Conclusion -- References -- A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification -- 1 Introduction -- 2 Related Works -- 3 Discriminant Sparse Representation Graph Construction -- 3.1 Estimation of Class-Probability -- 3.2 Discriminant Sparse Representation Graph -- 4 Experiments and Analysis -- 4.1 Experimental Datasets -- 4.2 Results of Classification Experiments -- 5 Conclusion -- References -- Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields -- 1 Introduction -- 2 The Proposed Method -- 2.1 GMM Modeling for Likelihood Function -- 2.2 Anisotropic MLL for Spatial Prior -- 2.3 Computing the MAP Estimate via Simulated Annealing -- 3 Experiments -- 3.1 Data Sets -- 3.2 Experimental Results -- 4 Conclusion -- References -- Effective Facial Expression Recognition via the Boosted Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 The Proposed Boosted-CNN Method -- 3.1 Overview -- 3.2 Reducing Over-Fitting -- 3.3 Boosting Algorithm -- 4 Experimental Results -- 4.1 Experiment on the CK+ Database -- 4.2 Experiments on JAFFE Database -- 5 Conclusion and Future Work -- References -- Structured Sparse Coding for Classification via Reweighted 2,1 Minimization -- 1 Introduction -- 2 Related Work -- 3 Our Method -- 3.1 Problem Formulation -- 3.2 The Proposed Iterative Algorithm -- 3.3 Classification Process -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Face Recognition -- 4.3 Gender Classification -- 4.4 Scene Classification -- 5 Summary -- References -- Detail-Enhanced Cross-Modality Face Synthesis via Guided Image Filtering -- 1 Introduction -- 2 Related Work -- 3 Cross-Modality Face Synthesis -- 3.1 K-NN-Based Algor rithm. 3.2 Guided Image Filtering-Based Algorithm -- 4 Experimental Results -- 4.1 Evaluation on the CUHK Benchmark Dataset -- 4.2 Visible-to-Near-Infrared Face Synthesis -- 5 Conclusions -- References -- Edge-Directed Single Image Super-Resolution via Cross-Resolution Sharpening Function Learning -- 1 Introduction -- 2 Edge-Directed Single-Image Super-Resolution -- 3 Cross-Resolution Gradient Magnitude Sharpening -- 3.1 Construction of Tl -- 3.2 High-Resolution Gradient Construction -- 4 Implementation -- 5 Experiments and Analysis -- 5.1 Comparisons with the State-of-the-Art Approaches -- 5.2 Large-Scale Comparison -- 5.3 Comparisons with Edge-Directed Reconstruction Method -- 6 Conclusion and Discussion -- References -- Compressive Tracking Based on Particle Filter -- 1 Introduction -- 2 Fast Compressive Tracking -- 3 Proposed Method -- 3.1 The Element Number of Measurement Vector -- 3.2 Calculation Method of Particle Weights -- 4 Experiments -- 4.1 Quantitative Evaluation -- 4.2 Visual Evaluation -- 5 Conclusions -- References -- An Adaptive Threshold Algorithm for Moving Object Segmentation -- 1 Introduction -- 2 Object Segmentation Based on Fixed Threshold -- 3 Object Segmentation Algorithm Based on Adaptive Threshold -- 3.1 The Basic Steps of the Algorithm -- 3.2 Threshold Initialization Based on Gaussian Mixture Model and Grabcut -- 3.3 Threshold Learning Based on K-Means Clustering -- 3.4 Threshold Updating -- 4 Experimental Results -- 5 Conclusions -- References -- Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image -- 1 Introduction -- 2 Method -- 2.1 Image Registration via Minimum Spanning Tree -- 2.2 Segmentation via Label Fusion -- 2.3 Interactive Registration and Segmentation -- 2.4 Summary: The Interactive Registration-Segmentation Pipeline -- 3 Experimental Results -- 4 Discussion. Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification. |
| Record Nr. | UNINA-9910298962103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Context-Aware Collaborative Prediction / / by Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan
| Context-Aware Collaborative Prediction / / by Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan |
| Autore | Wu Shu |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (74 pages) |
| Disciplina | 004 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Information storage and retrieval
Application software Data mining Artificial intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 981-10-5373-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Context-Aware Collaborative Prediction -- 3. Context Operation -- 4. Hierarchical Representation -- 5. Context-Aware Recurrent Structure -- 6. Performance of Different Collaborative Prediction Tasks. |
| Record Nr. | UNINA-9910280956603321 |
Wu Shu
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep cognitive networks : enhance deep learning by modeling human cognitive mechanism / / Yan Huang and Liang Wang
| Deep cognitive networks : enhance deep learning by modeling human cognitive mechanism / / Yan Huang and Liang Wang |
| Autore | Huang Yan <1933-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (70 pages) |
| Disciplina | 733 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico | Deep learning (Machine learning) |
| ISBN |
9789819902798
9789819902781 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. General Framework -- Chapter 3. Attention-based DCNs -- Chapter 4. Memory-based DCNs -- Chapter 5. Reasoning-based DCNs -- Chapter 6. Decision-based DCNs -- Chapter 7. Conclusions and Future Trends. . |
| Record Nr. | UNINA-9910686774603321 |
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Huang Yan <1933->
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| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep cognitive networks : enhance deep learning by modeling human cognitive mechanism / / Yan Huang and Liang Wang
| Deep cognitive networks : enhance deep learning by modeling human cognitive mechanism / / Yan Huang and Liang Wang |
| Autore | Huang Yan <1933-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (70 pages) |
| Disciplina | 733 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico | Deep learning (Machine learning) |
| ISBN |
9789819902798
9789819902781 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. General Framework -- Chapter 3. Attention-based DCNs -- Chapter 4. Memory-based DCNs -- Chapter 5. Reasoning-based DCNs -- Chapter 6. Decision-based DCNs -- Chapter 7. Conclusions and Future Trends. . |
| Record Nr. | UNISA-996547965503316 |
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Huang Yan <1933->
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| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Guidelines for Green Mine Construction and Management / / by Yong Wang, Suping Peng, Liang Wang
| Guidelines for Green Mine Construction and Management / / by Yong Wang, Suping Peng, Liang Wang |
| Autore | Wang Yong |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (245 pages) |
| Disciplina | 780 |
| Soggetto topico |
Mining engineering
Environmental management Energy policy Mineralogy Mining and Exploration Environmental Management Energy Policy, Economics and Management |
| ISBN | 981-19-9760-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic information -- Mine facilities -- Selection management -- Ecological environment -- Technology Innovation -- Standard management -- Environmental Protection Inspectors. |
| Record Nr. | UNINA-9910678250603321 |
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Wang Yong
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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