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A theory of shape identification / Frédéric Cao ... [et al.]
| A theory of shape identification / Frédéric Cao ... [et al.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2008 |
| Descrizione fisica | XI, 257 p. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Algorithms
Calculus Cluster analysis Cognition Databases Meaningful level lines Object recognition Scale invariant features Shape grouping Shape recognition Stereo Stereo vision |
| ISBN | 978-35-406-8480-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0068197 |
| Berlin, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A theory of shape identification / Frédéric Cao ... [et al.]
| A theory of shape identification / Frédéric Cao ... [et al.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2008 |
| Descrizione fisica | XI, 257 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] |
| Soggetto non controllato |
Algorithms
Calculus Cluster analysis Cognition Databases Meaningful level lines Object recognition Scale invariant features Shape grouping Shape recognition Stereo Stereo vision |
| ISBN | 978-35-406-8480-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00068197 |
| Berlin, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in data mining knowledge discovery and applications / / edited by Adem Karahoca
| Advances in data mining knowledge discovery and applications / / edited by Adem Karahoca |
| Autore | Karahoca Adem |
| Pubbl/distr/stampa | IntechOpen, 2012 |
| Descrizione fisica | 1 online resource (402 pages) : illustrations |
| Disciplina | 006.312 |
| Soggetto topico | Data mining |
| Soggetto non controllato | Databases |
| ISBN | 953-51-5710-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in data mining knowledge |
| Record Nr. | UNINA-9910138270603321 |
Karahoca Adem
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| IntechOpen, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
|
Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNINA-9910404119303321 |
|
Berthold Michael
|
||
| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
| Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 201 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 68Q65 - Abstract data types; algebraic specification [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Boolean algebra Boolean functions Coalgebra Computer programming Computer vision Databases Dynamical systems Formal logic Functors Game Theory Image processing Mathematics Matrix algebra Semantical models Semantics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248772 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
| Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 201 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020] 68Q65 - Abstract data types; algebraic specification [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Boolean algebra Boolean functions Coalgebra Computer programming Computer vision Databases Dynamical systems Formal logic Functors Game Theory Image processing Mathematics Matrix algebra Semantical models Semantics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248772 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
| Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson |
| Autore | Cutler, Josh |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 209 p. : ill. ; 24 cm |
| Altri autori (Persone) | Dickenson, Matt |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Application programming
Computer vision Data Collection Data structures Databases Natural Language Processing Political analysis Programming Python |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248837 |
|
Cutler, Josh
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
| Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson |
| Autore | Cutler, Josh |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 209 p. : ill. ; 24 cm |
| Altri autori (Persone) | Dickenson, Matt |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Application programming
Computer vision Data Collection Data structures Databases Natural Language Processing Political analysis Programming Python |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248837 |
|
Cutler, Josh
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Database : enterprise, skills and innovation : 22nd British National Conference on Databases, BNCOD 22, Sunderland, UK, July 5-7, 2005 : proceedings / / Mike Jackson, David Nelson, Sue Stirk (eds.)
| Database : enterprise, skills and innovation : 22nd British National Conference on Databases, BNCOD 22, Sunderland, UK, July 5-7, 2005 : proceedings / / Mike Jackson, David Nelson, Sue Stirk (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | 1 online resource (XII, 185 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
JacksonMike
NelsonDavid StirkSue |
| Collana | Lecture notes in computer science |
| Soggetto topico | Databases |
| Soggetto non controllato |
Key technologies
Data management Databases BNCOD |
| ISBN |
3-540-31677-9
3-540-26973-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Databases in Grid Applications: Locality and Distribution -- Spatio-temporal Databases -- Spatial Hierarchies and Topological Relationships in the Spatial MultiDimER Model -- Multidimensional Structures Dedicated to Continuous Spatiotemporal Phenomena -- TimeERplus: A Temporal EER Model Supporting Schema Changes -- Data Integration and Information Retrieval -- Semantically Rich Materialisation Rules for Integrating Heterogeneous Databases -- Answering Queries Using Views in the Presence of Functional Dependencies -- LAX: An Efficient Approximate XML Join Based on Clustered Leaf Nodes for XML Data Integration -- Exploitation of Referential Integrity Constraints for Efficient Update of Data Warehouse Views -- Correlation-Based Data Broadcasting in Wireless Networks -- Hierarchical Group-Based Sampling -- Using Schema Transformation Pathways for Data Lineage Tracing -- XML -- XDGL: XPath-Based Concurrency Control Protocol for XML Data -- Updating XML Using Object-Relational Database -- Applied Information Management -- Image Retrieval Using Weighted Color Co-occurrence Matrix -- Street Address Correction Based on Spelling Techniques -- Personalising Patient Information in the Real World -- Republishers in a Publish/Subscribe Architecture for Data Streams. |
| Altri titoli varianti |
Database, enterprise, skills and innovation
22nd British National Conference on Databases Twenty-second British National Conference on Databases British National Conference on Databases BNCOD 22 |
| Record Nr. | UNINA-9910483988103321 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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