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Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security / / Lorenzo Cavallaro [and six others]
| Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security / / Lorenzo Cavallaro [and six others] |
| Autore | Cavallaro Lorenzo |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , 2019 |
| Descrizione fisica | 1 online resource (117 pages) |
| Disciplina | 005.8 |
| Soggetto topico | Computer security |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910412122203321 |
Cavallaro Lorenzo
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| New York, NY : , : Association for Computing Machinery, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings / / edited by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings / / edited by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 524 p. 134 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing Algorithms Computer science—Mathematics Data structures (Computer science) Artificial Intelligence Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures |
| ISBN | 3-319-97785-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and Clustering -- Image annotation using a semantic hierarchy -- Malignant Brain Tumor Classification using the Random Forest Method -- Rotationally Invariant Bark Recognition -- Dynamic voting in multi-view learning for radiomics applications -- Iterative Deep Subspace Clustering -- A scalable spectral clustering algorithm based on landmark-embedding and cosine similarity -- Deep Learning and Neural Networks -- On Fast Sample Preselection for Speeding up Convolutional Neural Network Training -- UAV First View Landmark Localization via Deep Reinforcement Learning -- Context Free Band Reduction Using a Convolutional Neural Network -- Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks -- Learning Deep Embeddings via Margin-based Discriminate Loss -- Dissimilarity Representations and Gaussian Processes -- Protein Remote Homology Detection using Dissimilarity-based Multiple Instance Learning -- Local Binary Patterns based on Subspace Representation of Image Patch for Face Recognition -- An image-based representation for graph classification -- Visual Tracking via Patch-based Absorbing Markov Chain -- Gradient Descent for Gaussian Processes Variance Reduction -- Semi and Fully Supervised Learning Methods -- Sparsification of Indefinite Learning Models -- Semi-supervised Clustering Framework Based on Active Learning for Real Data -- Supervised Classification Using Feature Space Partitioning -- Deep Homography Estimation with Pairwise Invertibility Constraint -- Spatio-temporal Pattern Recognition and Shape Analysis -- Graph Time Series Analysis using Transfer Entropy -- Analyzing Time Series from Chinese Financial Market Using A Linear-Time Graph Kernel -- A Preliminary Survey of Analyzing Dynamic Time-varying Financial Networks Using Graph Kernels -- Few-Example Affine Invariant Ear Detection in the Wild -- Line Voronoi Diagram using Elliptical Distances -- Structural Matching -- Modelling the Generalised Median Correspondence through an Edit Distance -- Learning the Graph Edit Distance edit costs based on an embedded model -- Ring Based Approximation of Graph Edit Distance -- Graph Edit Distance in the exact context -- The VF3-Light Subgraph Isomorphism Algorithm: when doing less is more effective -- A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance -- Error-Tolerant Geometric Graph Similarity -- Learning Cost Functions for Graph Matching -- Multimedia Analysis and Understanding -- Matrix Regression-based Classification for Face Recognition -- Plenoptic Imaging for Seeing Through Turbulence -- Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions -- Cross-model Retrieval with Reconstruct Hashing -- Deep Supervised Hashing with Information Loss -- Single Image Super Resolution via Neighbor Reconstruction -- An Efficient Method for Boundary Detection from Hyperspectral Imagery -- Graph-Theoretic Methods -- Bags of Graphs for Human Action Recognition -- Categorization of RNA Molecules using Graph Methods -- Quantum Edge Entropy for Alzheimer's Disease Analysis -- Approximating GED using a Stochastic Generator and Multistart IPFP -- Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks -- On Association Graph Techniques for Hypergraph Matching -- Directed Network Analysis using Transfer Entropy Component Analysis -- A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs -- Dirichlet Densifiers: Beyond Constraining the Spectral Gap. |
| Record Nr. | UNISA-996466451903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings / / edited by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly
| Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings / / edited by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 524 p. 134 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing Algorithms Computer science—Mathematics Data structures (Computer science) Artificial Intelligence Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures |
| ISBN | 3-319-97785-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and Clustering -- Image annotation using a semantic hierarchy -- Malignant Brain Tumor Classification using the Random Forest Method -- Rotationally Invariant Bark Recognition -- Dynamic voting in multi-view learning for radiomics applications -- Iterative Deep Subspace Clustering -- A scalable spectral clustering algorithm based on landmark-embedding and cosine similarity -- Deep Learning and Neural Networks -- On Fast Sample Preselection for Speeding up Convolutional Neural Network Training -- UAV First View Landmark Localization via Deep Reinforcement Learning -- Context Free Band Reduction Using a Convolutional Neural Network -- Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks -- Learning Deep Embeddings via Margin-based Discriminate Loss -- Dissimilarity Representations and Gaussian Processes -- Protein Remote Homology Detection using Dissimilarity-based Multiple Instance Learning -- Local Binary Patterns based on Subspace Representation of Image Patch for Face Recognition -- An image-based representation for graph classification -- Visual Tracking via Patch-based Absorbing Markov Chain -- Gradient Descent for Gaussian Processes Variance Reduction -- Semi and Fully Supervised Learning Methods -- Sparsification of Indefinite Learning Models -- Semi-supervised Clustering Framework Based on Active Learning for Real Data -- Supervised Classification Using Feature Space Partitioning -- Deep Homography Estimation with Pairwise Invertibility Constraint -- Spatio-temporal Pattern Recognition and Shape Analysis -- Graph Time Series Analysis using Transfer Entropy -- Analyzing Time Series from Chinese Financial Market Using A Linear-Time Graph Kernel -- A Preliminary Survey of Analyzing Dynamic Time-varying Financial Networks Using Graph Kernels -- Few-Example Affine Invariant Ear Detection in the Wild -- Line Voronoi Diagram using Elliptical Distances -- Structural Matching -- Modelling the Generalised Median Correspondence through an Edit Distance -- Learning the Graph Edit Distance edit costs based on an embedded model -- Ring Based Approximation of Graph Edit Distance -- Graph Edit Distance in the exact context -- The VF3-Light Subgraph Isomorphism Algorithm: when doing less is more effective -- A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance -- Error-Tolerant Geometric Graph Similarity -- Learning Cost Functions for Graph Matching -- Multimedia Analysis and Understanding -- Matrix Regression-based Classification for Face Recognition -- Plenoptic Imaging for Seeing Through Turbulence -- Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions -- Cross-model Retrieval with Reconstruct Hashing -- Deep Supervised Hashing with Information Loss -- Single Image Super Resolution via Neighbor Reconstruction -- An Efficient Method for Boundary Detection from Hyperspectral Imagery -- Graph-Theoretic Methods -- Bags of Graphs for Human Action Recognition -- Categorization of RNA Molecules using Graph Methods -- Quantum Edge Entropy for Alzheimer's Disease Analysis -- Approximating GED using a Stochastic Generator and Multistart IPFP -- Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks -- On Association Graph Techniques for Hypergraph Matching -- Directed Network Analysis using Transfer Entropy Component Analysis -- A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs -- Dirichlet Densifiers: Beyond Constraining the Spectral Gap. |
| Record Nr. | UNINA-9910349414403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 588 p. 167 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Database management Algorithms Data mining Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-49055-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Dimensionality reduction -- Manifold learning and embedding methods.-Dissimilarity representations -- Graph-theoretic methods -- Model selection, classification and clustering -- Semi and fully supervised learning methods -- Shape analysis -- Spatio-temporal pattern recognition -- Structural matching -- Text and document analysis. . |
| Record Nr. | UNISA-996465483403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
| Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 588 p. 167 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Database management Algorithms Data mining Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-49055-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Dimensionality reduction -- Manifold learning and embedding methods.-Dissimilarity representations -- Graph-theoretic methods -- Model selection, classification and clustering -- Semi and fully supervised learning methods -- Shape analysis -- Spatio-temporal pattern recognition -- Structural matching -- Text and document analysis. . |
| Record Nr. | UNINA-9910483586303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||