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Big Data [[electronic resource] ] : 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings / / edited by Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu
| Big Data [[electronic resource] ] : 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings / / edited by Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XX, 590 p. 219 illus.) |
| Disciplina | 005.7 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Big data
Artificial intelligence Data mining Optical data processing Computer system failures Big Data Artificial Intelligence Data Mining and Knowledge Discovery Image Processing and Computer Vision System Performance and Evaluation |
| ISBN | 981-13-2922-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural language processing and text mining -- Big data analytics and smart computing -- Big data applications -- The application of big data in machine learning -- Social networks and recommendation systems -- Parallel computing and storage of big data -- Data quality control and data governance -- Big data system and management. |
| Record Nr. | UNINA-9910299298403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision [[electronic resource] ] : 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 [[electronic resource] ] : 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 recognition 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 [[electronic resource] ] : 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 [[electronic resource] ] : 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 recognition 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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Data Science [[electronic resource] ] : 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part II / / edited by Qinglei Zhou, Qiguang Miao, Hongzhi Wang, Wei Xie, Yan Wang, Zeguang Lu
| Data Science [[electronic resource] ] : 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part II / / edited by Qinglei Zhou, Qiguang Miao, Hongzhi Wang, Wei Xie, Yan Wang, Zeguang Lu |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIX, 649 p. 269 illus.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Application software Artificial intelligence Computer communication systems Optical data processing Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Artificial Intelligence Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
978-981-13-2206-8
981-13-2206-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational theory for data science -- Big data management and applications -- Data quality and data preparation -- Evaluation and measurement in data science -- Data visualization -- Big data mining and knowledge management -- Infrastructure for data science -- Machine learning for data science -- Data security and privacy -- Applications of data science -- Case study of data science -- Multimedia data management and analysis -- Data-driven scientific research -- Data-driven bioinformatics -- Data-driven healthcare -- Data-driven management -- Data-driven e-government -- Data-driven smart city/planet -- Data marketing and economics -- Social media and recommendation systems -- Data-driven security -- Data-driven business model innovation -- Social and/or organizational impacts of data science. |
| Record Nr. | UNINA-9910299301903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Retrieval [[electronic resource] ] : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia
| Information Retrieval [[electronic resource] ] : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
| Disciplina | 025.04 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Information storage and retrieval systems
Computer engineering Computer networks Database management Electronic commerce Social sciences—Data processing Computers Information Storage and Retrieval Computer Engineering and Networks Database Management e-Commerce and e-Business Computer Application in Social and Behavioral Sciences Computing Milieux |
| ISBN | 3-030-56725-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Search and Recommendation -- Improving Search Snippets in Context-aware Web Search Scenarios -- Investigating Fine-grained Usefulness Perception Process in Mobile Search -- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction -- NLP for IR -- A Framework for Identifying Event's Relevance Comments in Twitter -- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction -- Leveraging Label Semantics and Correlations for Judgment Prediction -- Position-aware hybrid attention network for Aspect-level Sentiment Analysis -- IR in Finance -- An Integrated Machine Learning Framework for Stock Price Prediction -- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm -- Hierarchical Attention Network in Stock Prediction -- Online Topic Detection and Tracking System and its Application on Stock Market in China -- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction. |
| Record Nr. | UNISA-996418281103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Information Retrieval [[electronic resource] ] : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia
| Information Retrieval [[electronic resource] ] : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
| Disciplina | 025.04 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Information storage and retrieval systems
Computer engineering Computer networks Database management Electronic commerce Social sciences—Data processing Computers Information Storage and Retrieval Computer Engineering and Networks Database Management e-Commerce and e-Business Computer Application in Social and Behavioral Sciences Computing Milieux |
| ISBN | 3-030-56725-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Search and Recommendation -- Improving Search Snippets in Context-aware Web Search Scenarios -- Investigating Fine-grained Usefulness Perception Process in Mobile Search -- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction -- NLP for IR -- A Framework for Identifying Event's Relevance Comments in Twitter -- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction -- Leveraging Label Semantics and Correlations for Judgment Prediction -- Position-aware hybrid attention network for Aspect-level Sentiment Analysis -- IR in Finance -- An Integrated Machine Learning Framework for Stock Price Prediction -- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm -- Hierarchical Attention Network in Stock Prediction -- Online Topic Detection and Tracking System and its Application on Stock Market in China -- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction. |
| Record Nr. | UNINA-9910416085703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New advances in image fusion / / edited by Qiguang Miao
| New advances in image fusion / / edited by Qiguang Miao |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2013] |
| Descrizione fisica | 1 online resource (144 pages) |
| Disciplina | 621.367 |
| Soggetto topico | Image processing |
| ISBN |
953-51-5714-0
953-51-1206-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910136151603321 |
| Rijeka, Croatia : , : InTech, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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