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Adaptive Multimedia Retrieval [[electronic resource] ] : First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers / / edited by Andreas Nürnberger, Marcin Detyniecki
| Adaptive Multimedia Retrieval [[electronic resource] ] : First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers / / edited by Andreas Nürnberger, Marcin Detyniecki |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (VIII, 232 p.) |
| Disciplina | 006.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data structures (Computer science)
Information storage and retrieval Multimedia information systems Application software Optical data processing Artificial intelligence Data Structures and Information Theory Information Storage and Retrieval Multimedia Information Systems Information Systems Applications (incl. Internet) Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-540-25981-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Contributions -- Adaptive Systems for Multimedia Information Retrieval -- Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval -- Building User Models from Observations of Users Accessing Multimedia Learning Objects -- Retrieval Systems -- Personalized Support for Interaction with Scientific Information Portals -- NewsFlash: Adaptive TV News Delivery on the Web -- User Adaptive Categorization of Document Collections -- Text and Ontologies -- Automatic Keyword Extraction for News Finder -- Ontology-Based Semantic Classification of Unstructured Documents -- Feature Extraction from Video -- Intelligent Visual Descriptor Extraction from Video Sequences -- Defining Search Areas to Localize Limbs in Body Motion Analysis -- Learning Fuzzy Rules for Visual Speech Recognition -- Adaptive Discovery of Indexing Rules for Video -- Image -- A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions -- Neural Network-Generated Image Retrieval and Refinement -- Sound -- Error Tolerant Melody Matching Method in Music Information Retrieval. |
| Record Nr. | UNINA-9910144152903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Multimedia Retrieval [[electronic resource] ] : First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers / / edited by Andreas Nürnberger, Marcin Detyniecki
| Adaptive Multimedia Retrieval [[electronic resource] ] : First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers / / edited by Andreas Nürnberger, Marcin Detyniecki |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (VIII, 232 p.) |
| Disciplina | 006.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data structures (Computer science)
Information storage and retrieval Multimedia information systems Application software Optical data processing Artificial intelligence Data Structures and Information Theory Information Storage and Retrieval Multimedia Information Systems Information Systems Applications (incl. Internet) Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-540-25981-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Contributions -- Adaptive Systems for Multimedia Information Retrieval -- Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval -- Building User Models from Observations of Users Accessing Multimedia Learning Objects -- Retrieval Systems -- Personalized Support for Interaction with Scientific Information Portals -- NewsFlash: Adaptive TV News Delivery on the Web -- User Adaptive Categorization of Document Collections -- Text and Ontologies -- Automatic Keyword Extraction for News Finder -- Ontology-Based Semantic Classification of Unstructured Documents -- Feature Extraction from Video -- Intelligent Visual Descriptor Extraction from Video Sequences -- Defining Search Areas to Localize Limbs in Body Motion Analysis -- Learning Fuzzy Rules for Visual Speech Recognition -- Adaptive Discovery of Indexing Rules for Video -- Image -- A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions -- Neural Network-Generated Image Retrieval and Refinement -- Sound -- Error Tolerant Melody Matching Method in Music Information Retrieval. |
| Record Nr. | UNISA-996465439403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Multimedia Retrieval. Context, Exploration and Fusion [[electronic resource] ] : 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010. Revised Selected Papers / / edited by Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober
| Adaptive Multimedia Retrieval. Context, Exploration and Fusion [[electronic resource] ] : 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010. Revised Selected Papers / / edited by Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (X, 221 p. 64 illus.) |
| Disciplina | 006.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Information storage and retrieval Artificial intelligence Optical data processing Database management Multimedia information systems Information Systems Applications (incl. Internet) Information Storage and Retrieval Artificial Intelligence Image Processing and Computer Vision Database Management Multimedia Information Systems |
| ISBN | 3-642-27169-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465988203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User [[electronic resource] ] : 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009, Revised Selected Papers / / edited by Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger
| Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User [[electronic resource] ] : 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009, Revised Selected Papers / / edited by Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (X, 159 p. 56 illus., 36 illus. in color.) |
| Disciplina | 006.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Information storage and retrieval Artificial intelligence Optical data processing Database management Multimedia information systems Information Systems Applications (incl. Internet) Information Storage and Retrieval Artificial Intelligence Image Processing and Computer Vision Database Management Multimedia Information Systems |
| ISBN | 3-642-18449-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466065803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Multimedia Retrieval: User, Context, and Feedback [[electronic resource] ] : Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers / / edited by Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen
| Adaptive Multimedia Retrieval: User, Context, and Feedback [[electronic resource] ] : Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers / / edited by Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XII, 284 p.) |
| Disciplina | 006.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Information storage and retrieval Multimedia information systems Application software Optical data processing Artificial intelligence Data Structures and Information Theory Information Storage and Retrieval Multimedia Information Systems Information Systems Applications (incl. Internet) Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-540-32175-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Contributions -- Putting the User in the Loop: Visual Resource Discovery -- Using Relevance Feedback to Bridge the Semantic Gap -- Leveraging Context for Adaptive Multimedia Retrieval: A Matter of Control -- Ranking -- Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations -- Ranking Invariance Based on Similarity Measures in Document Retrieval -- Systems -- Developing AMIE: An Adaptive Multimedia Integrated Environment -- Exploring the Structure of Media Stream Interactions for Multimedia Browsing -- CARSA – An Architecture for the Development of Context Adaptive Retrieval Systems -- Integrating Media Management Towards Ambient Intelligence -- CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems -- Spatio-temporal Relations -- Interactive Retrieval of Video Sequences from Local Feature Dynamics -- Temporal Relation Analysis in Audiovisual Documents for Complementary Descriptive Information -- Using Feedback -- Using Segmented Objects in Ostensive Video Shot Retrieval -- Learning User Queries in Multimodal Dissimilarity Spaces -- Surface Features in Video Retrieval -- Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval -- Using Context -- An Explorative Study of Interface Support for Image Searching -- Context-Based Image Similarity Queries -- Meta Data -- Information Retrieval of Sequential Data in Heterogeneous XML Databases -- A Visual Annotation Framework Using Common-Sensical and Linguistic Relationships for Semantic Media Retrieval -- Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. |
| Record Nr. | UNISA-996465932003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Multimedia Retrieval: User, Context, and Feedback [[electronic resource] ] : Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers / / edited by Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen
| Adaptive Multimedia Retrieval: User, Context, and Feedback [[electronic resource] ] : Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers / / edited by Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XII, 284 p.) |
| Disciplina | 006.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Information storage and retrieval Multimedia information systems Application software Optical data processing Artificial intelligence Data Structures and Information Theory Information Storage and Retrieval Multimedia Information Systems Information Systems Applications (incl. Internet) Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-540-32175-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Contributions -- Putting the User in the Loop: Visual Resource Discovery -- Using Relevance Feedback to Bridge the Semantic Gap -- Leveraging Context for Adaptive Multimedia Retrieval: A Matter of Control -- Ranking -- Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations -- Ranking Invariance Based on Similarity Measures in Document Retrieval -- Systems -- Developing AMIE: An Adaptive Multimedia Integrated Environment -- Exploring the Structure of Media Stream Interactions for Multimedia Browsing -- CARSA – An Architecture for the Development of Context Adaptive Retrieval Systems -- Integrating Media Management Towards Ambient Intelligence -- CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems -- Spatio-temporal Relations -- Interactive Retrieval of Video Sequences from Local Feature Dynamics -- Temporal Relation Analysis in Audiovisual Documents for Complementary Descriptive Information -- Using Feedback -- Using Segmented Objects in Ostensive Video Shot Retrieval -- Learning User Queries in Multimodal Dissimilarity Spaces -- Surface Features in Video Retrieval -- Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval -- Using Context -- An Explorative Study of Interface Support for Image Searching -- Context-Based Image Similarity Queries -- Meta Data -- Information Retrieval of Sequential Data in Heterogeneous XML Databases -- A Visual Annotation Framework Using Common-Sensical and Linguistic Relationships for Semantic Media Retrieval -- Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. |
| Record Nr. | UNINA-9910483479303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
| Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.) |
| Disciplina | 616.8047548 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Mathematical statistics Data mining Image Processing and Computer Vision Machine Learning Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-030-31901-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets. |
| Record Nr. | UNISA-996466429903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
| Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.) |
| Disciplina | 616.8047548 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Mathematical statistics Data mining Image Processing and Computer Vision Machine Learning Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-030-31901-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets. |
| Record Nr. | UNINA-9910349275503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Approaches to Biomedical Engineering [[electronic resource] /] / edited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu
| Advanced Computational Approaches to Biomedical Engineering [[electronic resource] /] / edited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina |
004
006.3 006.37 006.6 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Bioinformatics Optical data processing Biomathematics Artificial Intelligence Computational Intelligence Computational Biology/Bioinformatics Image Processing and Computer Vision Mathematical and Computational Biology |
| ISBN | 3-642-41539-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I – Advanced Computational Methods -- Chap. 1 – Graph Algorithmic Techniques for Biomedical Image Segmentation -- Chap. 2 – Information Theoretic Clustering for Medical Image Segmentation -- Chap. 3 – Multiobjective Differential Evolution Based Fuzzy Clustering for MR Brain Image Segmentation -- Chap. 4 – Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics -- Chap. 5 – A Meta-learning Approach for Protein Function Prediction -- Part II – Biomedical Applications -- Chap. 6 – Segmentation of the Carotid Arteries from 3D Ultrasound Images -- Chap. 7 – Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity -- Chap. 8 – Advanced MRI of Cartilage and Subchondral Bone in Osteoarthritis -- Chap. 9 – Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images. |
| Record Nr. | UNINA-9910299057903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Methods for Knowledge Engineering [[electronic resource] /] / edited by Ngoc Thanh Nguyen, Tien van Do, Hoai An Thi
| Advanced Computational Methods for Knowledge Engineering [[electronic resource] /] / edited by Ngoc Thanh Nguyen, Tien van Do, Hoai An Thi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 392 p. 105 illus.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Optical data processing Mathematical models Computational Intelligence Image Processing and Computer Vision Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-319-00293-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advanced Optimization Methods and Their Applications -- Queuing Theory and Applications -- Computational Methods for Knowledge Engineering -- Knowledge Engineering with Cloud and Grid Computing -- Logic Based Methods for Decision Making and Data Mining. |
| Record Nr. | UNINA-9910437896603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Image Processing and Computer Vision
(2994)
- Optical data processing (2976)
- Artificial intelligence (1978)
- Artificial Intelligence (1967)
- Pattern Recognition (1442)