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Computer vision in vehicle technology : land, sea & air / / edited by Antonio M. Lopez [and three others]
| Computer vision in vehicle technology : land, sea & air / / edited by Antonio M. Lopez [and three others] |
| Autore | López Antonio M. <1969-> |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Incorporated, , 2017 |
| Descrizione fisica | 1 online resource (218 pages) : color illustrations |
| Disciplina | 629.040285/637 |
| Soggetto topico |
Computer vision
Automotive telematics Autonomous vehicles - Equipment and supplies Drone aircraft - Equipment and supplies Nautical instruments |
| ISBN |
1-118-86805-6
1-118-86806-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910165029303321 |
López Antonio M. <1969->
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Incorporated, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision in vehicle technology : land, sea & air / / edited by Antonio M. Lopez [and three others]
| Computer vision in vehicle technology : land, sea & air / / edited by Antonio M. Lopez [and three others] |
| Autore | López Antonio M. <1969-> |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Incorporated, , 2017 |
| Descrizione fisica | 1 online resource (218 pages) : color illustrations |
| Disciplina | 629.040285/637 |
| Soggetto topico |
Computer vision
Automotive telematics Autonomous vehicles - Equipment and supplies Drone aircraft - Equipment and supplies Nautical instruments |
| ISBN |
1-118-86805-6
1-118-86806-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910825023703321 |
|
López Antonio M. <1969->
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons, Incorporated, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital and Image Geometry [[electronic resource] ] : Advanced Lectures / / edited by Gilles Bertrand, Atsushi Imiya, Reinhard Klette
| Digital and Image Geometry [[electronic resource] ] : Advanced Lectures / / edited by Gilles Bertrand, Atsushi Imiya, Reinhard Klette |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (VIII, 464 p.) |
| Disciplina | 621.36/7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Geometry Computer graphics Optical data processing Computer science—Mathematics Computer Applications Computer Graphics Image Processing and Computer Vision Discrete Mathematics in Computer Science Mathematics of Computing |
| ISBN | 3-540-45576-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Topology -- An Axiomatic Approach to Digital Topology -- Generic Programming Techniques that Make Planar Cell Complexes Easy to Use -- Algorithms and Data Structures for Computer Topology -- Computer Presentation of 3-Manifolds -- “Continuous” Multifunctions in Discrete Spaces with Applications to Fixed Point Theory -- Representation -- SpaMod: Design of a Spatial Modeling Tool -- to Combinatorial Pyramids -- Representing Vertex-Based Simplicial Multi-complexes -- Discrete Polyhedrization of a Lattice Point Set -- Digital Partitions Encoding -- Geometry -- Stability and Instability in Discrete Tomography -- Point-to-Line Mappings and Hough Transforms -- Digital Lines and Digital Convexity -- Curvature Flow in Discrete Space -- Hausdorff Sampling of Closed Sets into a Boundedly Compact Space -- Cell Complexes and Digital Convexity -- Multigrid Convergence -- Approximation of 3D Shortest Polygons in Simple Cube Curves -- Segmentation and Length Estimation of 3D Discrete Curves -- Multigrid Convergence of Geometric Features -- Length Estimation for Curves with Different Samplings -- The 2-D Leap-Frog: Integrability, Noise, and Digitization -- On Approximation of Jordan Surfaces in 3D -- Shape Similarity and Simplification -- Similarity Measure Computation of Convex Polyhedra Revisited -- Reversible Surface Skeletons of 3D Objects by Iterative Thinning of Distance Transforms -- Distance Transformation and Skeletonization of 3D Pictures and Their Applications to Medical Images -- About the Limiting Behaviour of Iterated Robust Morphological Operators -- Collinearity and Weak Collinearity in the Digital Plane. |
| Record Nr. | UNISA-996465669103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Digital and Image Geometry : Advanced Lectures / / edited by Gilles Bertrand, Atsushi Imiya, Reinhard Klette
| Digital and Image Geometry : Advanced Lectures / / edited by Gilles Bertrand, Atsushi Imiya, Reinhard Klette |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (VIII, 464 p.) |
| Disciplina | 621.36/7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Geometry Computer graphics Optical data processing Computer science—Mathematics Computer Applications Computer Graphics Image Processing and Computer Vision Discrete Mathematics in Computer Science Mathematics of Computing |
| ISBN | 3-540-45576-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Topology -- An Axiomatic Approach to Digital Topology -- Generic Programming Techniques that Make Planar Cell Complexes Easy to Use -- Algorithms and Data Structures for Computer Topology -- Computer Presentation of 3-Manifolds -- “Continuous” Multifunctions in Discrete Spaces with Applications to Fixed Point Theory -- Representation -- SpaMod: Design of a Spatial Modeling Tool -- to Combinatorial Pyramids -- Representing Vertex-Based Simplicial Multi-complexes -- Discrete Polyhedrization of a Lattice Point Set -- Digital Partitions Encoding -- Geometry -- Stability and Instability in Discrete Tomography -- Point-to-Line Mappings and Hough Transforms -- Digital Lines and Digital Convexity -- Curvature Flow in Discrete Space -- Hausdorff Sampling of Closed Sets into a Boundedly Compact Space -- Cell Complexes and Digital Convexity -- Multigrid Convergence -- Approximation of 3D Shortest Polygons in Simple Cube Curves -- Segmentation and Length Estimation of 3D Discrete Curves -- Multigrid Convergence of Geometric Features -- Length Estimation for Curves with Different Samplings -- The 2-D Leap-Frog: Integrability, Noise, and Digitization -- On Approximation of Jordan Surfaces in 3D -- Shape Similarity and Simplification -- Similarity Measure Computation of Convex Polyhedra Revisited -- Reversible Surface Skeletons of 3D Objects by Iterative Thinning of Distance Transforms -- Distance Transformation and Skeletonization of 3D Pictures and Their Applications to Medical Images -- About the Limiting Behaviour of Iterated Robust Morphological Operators -- Collinearity and Weak Collinearity in the Digital Plane. |
| Record Nr. | UNINA-9910767514703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings / / edited by Petra Perner, Atsushi Imiya
| Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings / / edited by Petra Perner, Atsushi Imiya |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XVIII, 698 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Mathematical logic Database management Information organization Pattern recognition Optical data processing Artificial Intelligence Mathematical Logic and Formal Languages Database Management Information Storage and Retrieval Pattern Recognition Image Processing and Computer Vision |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and Model Estimation -- On ECOC as Binary Ensemble Classifiers -- Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis -- Parameter Inference of Cost-Sensitive Boosting Algorithms -- Finite Mixture Models with Negative Components -- MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection -- Principles of Multi-kernel Data Mining -- Neural Methods -- Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks -- Determining Regularization Parameters for Derivative Free Neural Learning -- A Comprehensible SOM-Based Scoring System -- Subspace Methods -- The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets -- SSC: Statistical Subspace Clustering -- Understanding Patterns with Different Subspace Classification -- Clustering: Basics -- Using Clustering to Learn Distance Functions for Supervised Similarity Assessment -- Linear Manifold Clustering -- Universal Clustering with Regularization in Probabilistic Space -- Acquisition of Concept Descriptions by Conceptual Clustering -- Applications of Clustering -- Clustering Large Dynamic Datasets Using Exemplar Points -- Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files -- Alarm Clustering for Intrusion Detection Systems in Computer Networks -- Clustering Document Images Using Graph Summaries -- Feature Grouping, Discretization, Selection and Transformation -- Feature Selection Method Using Preferences Aggregation -- Ranked Modelling with Feature Selection Based on the CPL Criterion Functions -- A Grouping Method for Categorical Attributes Having Very Large Number of Values -- Unsupervised Learning of Visual Feature Hierarchies -- Multivariate Discretization by Recursive Supervised Bipartition of Graph -- CorePhrase: Keyphrase Extraction for Document Clustering -- A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications -- Applications in Medicine -- Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule -- Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures -- Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network -- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM -- Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration -- Prediction of Secondary Protein Structure Content from Primary Sequence Alone – A Feature Selection Based Approach -- Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding -- Time Series and Sequential Pattern Mining -- Embedding Time Series Data for Classification -- Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning -- Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity -- Mining Expressive Temporal Associations from Complex Data -- Statistical Supports for Frequent Itemsets on Data Streams -- Mining Images in Computer Vision -- Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning -- Cost Integration in Multi-step Viewpoint Selection for Object Recognition -- Support Vector Machine Experiments for Road Recognition in High Resolution Images -- An Automatic Face Recognition System in the Near Infrared Spectrum -- Mining Images and Texture -- Hierarchical Partitions for Content Image Retrieval from Large-Scale Database -- Optimising the Choice of Colours of an Image Database for Dichromats -- An Approach to Mining Picture Objects Based on Textual Cues -- Mining Motion from Sequence -- Activity and Motion Detection Based on Measuring Texture Change -- A New Approach to Human Motion Sequence Recognition with Application to Diving Actions -- Dominant Plane Detection Using Optical Flow and Independent Component Analysis -- Speech Analysis -- Neural Expert Model Applied to Phonemes Recognition -- An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation -- Aspects of Data Mining -- Signature-Based Approach for Intrusion Detection -- Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations -- An Integrated Approach for Mining Meta-rules -- Data Mining on Crash Simulation Data -- Text Mining -- Pattern Mining Across Domain-Specific Text Collections -- Text Classification Using Small Number of Features -- Low-Level Cursive Word Representation Based on Geometric Decomposition -- Special Track: Industrial Applications of Data Mining -- Supervised Evaluation of Dataset Partitions: Advantages and Practice -- Inference on Distributed Data Clustering -- A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases -- Mixture Random Effect Model Based Meta-analysis for Medical Data Mining -- Semantic Analysis of Association Rules via Item Response Theory -- Temporal Approach to Association Rule Mining Using T-Tree and P-Tree -- Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis -- Modeling the Organoleptic Properties of Matured Wine Distillates -- Bagging Random Trees for Estimation of Tissue Softness -- Concept Mining for Indexing Medical Literature. |
| Record Nr. | UNISA-996465803003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and data mining in pattern recognition : 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005 : proceedings / / Petra Perner, Atsushi Imiya (eds.)
| Machine learning and data mining in pattern recognition : 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005 : proceedings / / Petra Perner, Atsushi Imiya (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2005 |
| Descrizione fisica | 1 online resource (XVIII, 698 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) |
PernerPetra
ImiyaAtsushi |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico |
Pattern perception
Machine learning Data mining Image processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and Model Estimation -- On ECOC as Binary Ensemble Classifiers -- Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis -- Parameter Inference of Cost-Sensitive Boosting Algorithms -- Finite Mixture Models with Negative Components -- MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection -- Principles of Multi-kernel Data Mining -- Neural Methods -- Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks -- Determining Regularization Parameters for Derivative Free Neural Learning -- A Comprehensible SOM-Based Scoring System -- Subspace Methods -- The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets -- SSC: Statistical Subspace Clustering -- Understanding Patterns with Different Subspace Classification -- Clustering: Basics -- Using Clustering to Learn Distance Functions for Supervised Similarity Assessment -- Linear Manifold Clustering -- Universal Clustering with Regularization in Probabilistic Space -- Acquisition of Concept Descriptions by Conceptual Clustering -- Applications of Clustering -- Clustering Large Dynamic Datasets Using Exemplar Points -- Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files -- Alarm Clustering for Intrusion Detection Systems in Computer Networks -- Clustering Document Images Using Graph Summaries -- Feature Grouping, Discretization, Selection and Transformation -- Feature Selection Method Using Preferences Aggregation -- Ranked Modelling with Feature Selection Based on the CPL Criterion Functions -- A Grouping Method for Categorical Attributes Having Very Large Number of Values -- Unsupervised Learning of Visual Feature Hierarchies -- Multivariate Discretization by Recursive Supervised Bipartition of Graph -- CorePhrase: Keyphrase Extraction for Document Clustering -- A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications -- Applications in Medicine -- Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule -- Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures -- Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network -- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM -- Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration -- Prediction of Secondary Protein Structure Content from Primary Sequence Alone – A Feature Selection Based Approach -- Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding -- Time Series and Sequential Pattern Mining -- Embedding Time Series Data for Classification -- Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning -- Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity -- Mining Expressive Temporal Associations from Complex Data -- Statistical Supports for Frequent Itemsets on Data Streams -- Mining Images in Computer Vision -- Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning -- Cost Integration in Multi-step Viewpoint Selection for Object Recognition -- Support Vector Machine Experiments for Road Recognition in High Resolution Images -- An Automatic Face Recognition System in the Near Infrared Spectrum -- Mining Images and Texture -- Hierarchical Partitions for Content Image Retrieval from Large-Scale Database -- Optimising the Choice of Colours of an Image Database for Dichromats -- An Approach to Mining Picture Objects Based on Textual Cues -- Mining Motion from Sequence -- Activity and Motion Detection Based on Measuring Texture Change -- A New Approach to Human Motion Sequence Recognition with Application to Diving Actions -- Dominant Plane Detection Using Optical Flow and Independent Component Analysis -- Speech Analysis -- Neural Expert Model Applied to Phonemes Recognition -- An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation -- Aspects of Data Mining -- Signature-Based Approach for Intrusion Detection -- Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations -- An Integrated Approach for Mining Meta-rules -- Data Mining on Crash Simulation Data -- Text Mining -- Pattern Mining Across Domain-Specific Text Collections -- Text Classification Using Small Number of Features -- Low-Level Cursive Word Representation Based on Geometric Decomposition -- Special Track: Industrial Applications of Data Mining -- Supervised Evaluation of Dataset Partitions: Advantages and Practice -- Inference on Distributed Data Clustering -- A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases -- Mixture Random Effect Model Based Meta-analysis for Medical Data Mining -- Semantic Analysis of Association Rules via Item Response Theory -- Temporal Approach to Association Rule Mining Using T-Tree and P-Tree -- Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis -- Modeling the Organoleptic Properties of Matured Wine Distillates -- Bagging Random Trees for Estimation of Tissue Softness -- Concept Mining for Indexing Medical Literature. |
| Altri titoli varianti | MLDM 2005 |
| Record Nr. | UNINA-9910484000403321 |
| Berlin ; ; New York, : Springer, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings / / edited by Georgy Gimel´farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings / / edited by Georgy Gimel´farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XVIII, 755 p. 236 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 |
| Soggetto genere / forma | Conference proceedings. |
| ISBN | 3-642-34166-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Estimation, Learning, and Adaptation: Systems That Improve with Use -- Optimization Techniques for Geometric Estimation: Beyond Minimization -- Hierarchical Compositional Representations of Object Structure -- Information Theoretic Prototype Selection for Unattributed Graphs -- Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance -- Mode Seeking Clustering by KNN and Mean Shift Evaluated -- Learning Sparse Kernel Classifiers in the Primal -- EvolutionaryWeighted Mean Based Framework for Generalized Median Computation with Application to Strings -- Graph Complexity from the Jensen-Shannon Divergence -- Complexity of Computing Distances between Geometric Trees -- Active Graph Matching Based on Pairwise Probabilities between Nodes -- On the Relation between the Common Labelling and the Median Graph -- A Hierarchical Image Segmentation Algorithm Based on an Observation Scale -- A Discrete Scale Space Neighborhood for Robust Deep Structure Extraction -- On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space -- Approximate Axial Symmetries from Continuous Time Quantum Walks -- A Clustering-Based Ensemble Technique for Shape Decomposition -- Laplacian Eigenimages in Discrete Scale Space -- A Relational Kernel-Based Framework for Hierarchical Image Understanding -- A Jensen-Shannon Kernel for Hypergraphs -- Heat Flow-Thermodynamic Depth Complexity in Directed Networks -- Shape Similarity Based on a Treelet Kernel with Edition -- 3D Shape Classification Using Commute Time -- Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection -- Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar -- A Comparison between Structural and Embedding Methods for Graph Classification -- Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique -- Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery -- Entropic Selection of Histogram Features for Efficient Classification -- 2D Shapes Classification Using BLAST -- A New Random Forest Method for One-Class Classification -- A New Index Based on Sparsity Measures for Comparing Fuzzy Partitions -- Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule -- The Dipping Phenomenon -- Colour Matching Function Learning -- Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis -- Out-of-Sample Embedding by Sparse Representation -- Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric -- Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization -- Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation -- Online Metric Learning Methods Using Soft Margins and Least Squares Formulations -- Shape Analysis Using the Edge-Based Laplacian -- One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices -- Estimating Surface Characteristics and Extracting Features from Polarisation -- Extended Fisher Criterion Based on Auto-correlation Matrix Information -- Poisoning Adaptive Biometric Systems -- Modified Divergences for Gaussian Densities -- Graph Database Retrieval Based on Metric-Trees -- Validation of Network Classifiers -- Alignment and Morphing for the Boundary Curves of Anatomical Organs -- Unsupervised Clustering of Human Pose Using Spectral Embedding -- Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features -- An Incremental Structured Part Model for Image Classification -- Top-Down Tracking and Estimating 3D Pose of a Die -- Large Scale Experiments on Fingerprint Liveness Detection -- Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications -- Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework -- Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images -- Compact Form of the Pseudo–inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM) -- A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA -- Support Vector Machines Training Data Selection Using a Genetic Algorithm -- A Unified View of Two-Dimensional Principal Component Analyses -- Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection -- Novel Gabor-PHOG Features for Object and Scene Image Classification -- Binary Gabor Statistical Features for Palmprint Template Protection -- Class-Dependent Dissimilarity Measures for Multiple Instance Learning -- Bidirectional Language Model for Handwriting Recognition -- Hypergraph Spectra for Unsupervised Feature Selection -- Feature Selection Using Counting Grids: Application to Microarray Data -- Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments -- Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression -- Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration -- A Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification -- A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset -- A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI -- A Comparative Analysis of Forgery Detection Algorithms -- Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients -- A Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers -- Analysis of Co-training Algorithm with Very Small Training Sets -- Classification of High-Dimension PDFs Using the Hungarian Algorithm -- Face Recognition Using Multilinear Manifold Analysis of Local Descriptors -- A Genetic Inspired Optimization for ECOC. |
| Record Nr. | UNISA-996465297803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||