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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
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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  
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  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Database and collections of information misappropriations : joint hearing before the Subcommittee on Courts, the Internet, and Intellectual Property of the Committee on the Judiciary and the Subcommittee on Commerce, Trade, and Consumer Protection of the Committee on Energy and Commerce, House of Representatives, One Hundred Eighth Congress, first session, September 23, 2003
Database and collections of information misappropriations : joint hearing before the Subcommittee on Courts, the Internet, and Intellectual Property of the Committee on the Judiciary and the Subcommittee on Commerce, Trade, and Consumer Protection of the Committee on Energy and Commerce, House of Representatives, One Hundred Eighth Congress, first session, September 23, 2003
Pubbl/distr/stampa : Washington : U.S. G.P.O.
Descrizione fisica 1 online resource (v, 152 p.)
Soggetto topico Databases - Law and legislation - United States
Database industry - Law and legislation - United States
Copyright - Databases - United States
Soggetto non controllato Databases
Copyright
Computers
Law
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Database and collections of information misappropriations
Record Nr. UNINA-9910693933603321
: Washington : U.S. G.P.O.
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Database processing : fundamentals, design, implementation / David M. Kroenke
Database processing : fundamentals, design, implementation / David M. Kroenke
Autore Kroenke, David M.
Edizione [4th ed. -]
Pubbl/distr/stampa New York : Macmillan, 1992
Descrizione fisica xxviii, 659 p. : ill. ; 24 cm
Disciplina 005.74
Soggetto non controllato Databases
ISBN 0-02-946420-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001315810403321
Kroenke, David M.  
New York : Macmillan, 1992
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxxiv, 809 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68Pxx - Theory of data [MSC 2020]
Soggetto non controllato Artificial Intelligence
Computer Networks
Computer Science
Computer hardware
Computer systems
Computer vision
Data Mining
Databases
Education
Engineering
Information retrieval
Internet
Learning
Machine learning
Mathematics
Network protocols
Neural networks
Signal processing
Telecommunication networks
Telecommunication systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248966
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Database: Enterprise, Skills and Innovation [[electronic resource] ] : 22nd British National Conference on Databases, BNCOD 22, Sunderland, UK, July 5-7, 2005, Proceedings / / edited by Mike Jackson, David Nelson, Sue Stirk
Database: Enterprise, Skills and Innovation [[electronic resource] ] : 22nd British National Conference on Databases, BNCOD 22, Sunderland, UK, July 5-7, 2005, Proceedings / / edited by Mike Jackson, David Nelson, Sue Stirk
Edizione [1st ed. 2005.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Descrizione fisica 1 online resource (XII, 185 p.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Information storage and retrieval
Application software
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
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.
Record Nr. UNISA-996465806703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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