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Learning Theory and Kernel Machines [[electronic resource] ] : 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings / / edited by Bernhard Schölkopf, Manfred K. Warmuth
| Learning Theory and Kernel Machines [[electronic resource] ] : 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings / / edited by Bernhard Schölkopf, Manfred K. Warmuth |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 754 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Mathematical logic Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
| ISBN | 3-540-45167-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Target Area: Computational Game Theory -- Tutorial: Learning Topics in Game-Theoretic Decision Making -- A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria -- Preference Elicitation and Query Learning -- Efficient Algorithms for Online Decision Problems -- Positive Definite Rational Kernels -- Bhattacharyya and Expected Likelihood Kernels -- Maximal Margin Classification for Metric Spaces -- Maximum Margin Algorithms with Boolean Kernels -- Knowledge-Based Nonlinear Kernel Classifiers -- Fast Kernels for Inexact String Matching -- On Graph Kernels: Hardness Results and Efficient Alternatives -- Kernels and Regularization on Graphs -- Data-Dependent Bounds for Multi-category Classification Based on Convex Losses -- Poster Session 1 -- Comparing Clusterings by the Variation of Information -- Multiplicative Updates for Large Margin Classifiers -- Simplified PAC-Bayesian Margin Bounds -- Sparse Kernel Partial Least Squares Regression -- Sparse Probability Regression by Label Partitioning -- Learning with Rigorous Support Vector Machines -- Robust Regression by Boosting the Median -- Boosting with Diverse Base Classifiers -- Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming -- Optimal Rates of Aggregation -- Distance-Based Classification with Lipschitz Functions -- Random Subclass Bounds -- PAC-MDL Bounds -- Universal Well-Calibrated Algorithm for On-Line Classification -- Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling -- Learning Algorithms for Enclosing Points in Bregmanian Spheres -- Internal Regret in On-Line Portfolio Selection -- Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem -- Smooth ?-Insensitive Regression by Loss Symmetrization -- On Finding Large Conjunctive Clusters -- Learning Arithmetic Circuits via Partial Derivatives -- Poster Session 2 -- Using a Linear Fit to Determine Monotonicity Directions -- Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering -- Sequence Prediction Based on Monotone Complexity -- How Many Strings Are Easy to Predict? -- Polynomial Certificates for Propositional Classes -- On-Line Learning with Imperfect Monitoring -- Exploiting Task Relatedness for Multiple Task Learning -- Approximate Equivalence of Markov Decision Processes -- An Information Theoretic Tradeoff between Complexity and Accuracy -- Learning Random Log-Depth Decision Trees under the Uniform Distribution -- Projective DNF Formulae and Their Revision -- Learning with Equivalence Constraints and the Relation to Multiclass Learning -- Target Area: Natural Language Processing -- Tutorial: Machine Learning Methods in Natural Language Processing -- Learning from Uncertain Data -- Learning and Parsing Stochastic Unification-Based Grammars -- Generality’s Price -- On Learning to Coordinate -- Learning All Subfunctions of a Function -- When Is Small Beautiful? -- Learning a Function of r Relevant Variables -- Subspace Detection: A Robust Statistics Formulation -- How Fast Is k-Means? -- Universal Coding of Zipf Distributions -- An Open Problem Regarding the Convergence of Universal A Priori Probability -- Entropy Bounds for Restricted Convex Hulls -- Compressing to VC Dimension Many Points. |
| Record Nr. | UNINA-9910144021903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning Theory and Kernel Machines [[electronic resource] ] : 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings / / edited by Bernhard Schölkopf, Manfred K. Warmuth
| Learning Theory and Kernel Machines [[electronic resource] ] : 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings / / edited by Bernhard Schölkopf, Manfred K. Warmuth |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 754 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Mathematical logic Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages |
| ISBN | 3-540-45167-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Target Area: Computational Game Theory -- Tutorial: Learning Topics in Game-Theoretic Decision Making -- A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria -- Preference Elicitation and Query Learning -- Efficient Algorithms for Online Decision Problems -- Positive Definite Rational Kernels -- Bhattacharyya and Expected Likelihood Kernels -- Maximal Margin Classification for Metric Spaces -- Maximum Margin Algorithms with Boolean Kernels -- Knowledge-Based Nonlinear Kernel Classifiers -- Fast Kernels for Inexact String Matching -- On Graph Kernels: Hardness Results and Efficient Alternatives -- Kernels and Regularization on Graphs -- Data-Dependent Bounds for Multi-category Classification Based on Convex Losses -- Poster Session 1 -- Comparing Clusterings by the Variation of Information -- Multiplicative Updates for Large Margin Classifiers -- Simplified PAC-Bayesian Margin Bounds -- Sparse Kernel Partial Least Squares Regression -- Sparse Probability Regression by Label Partitioning -- Learning with Rigorous Support Vector Machines -- Robust Regression by Boosting the Median -- Boosting with Diverse Base Classifiers -- Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming -- Optimal Rates of Aggregation -- Distance-Based Classification with Lipschitz Functions -- Random Subclass Bounds -- PAC-MDL Bounds -- Universal Well-Calibrated Algorithm for On-Line Classification -- Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling -- Learning Algorithms for Enclosing Points in Bregmanian Spheres -- Internal Regret in On-Line Portfolio Selection -- Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem -- Smooth ?-Insensitive Regression by Loss Symmetrization -- On Finding Large Conjunctive Clusters -- Learning Arithmetic Circuits via Partial Derivatives -- Poster Session 2 -- Using a Linear Fit to Determine Monotonicity Directions -- Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering -- Sequence Prediction Based on Monotone Complexity -- How Many Strings Are Easy to Predict? -- Polynomial Certificates for Propositional Classes -- On-Line Learning with Imperfect Monitoring -- Exploiting Task Relatedness for Multiple Task Learning -- Approximate Equivalence of Markov Decision Processes -- An Information Theoretic Tradeoff between Complexity and Accuracy -- Learning Random Log-Depth Decision Trees under the Uniform Distribution -- Projective DNF Formulae and Their Revision -- Learning with Equivalence Constraints and the Relation to Multiclass Learning -- Target Area: Natural Language Processing -- Tutorial: Machine Learning Methods in Natural Language Processing -- Learning from Uncertain Data -- Learning and Parsing Stochastic Unification-Based Grammars -- Generality’s Price -- On Learning to Coordinate -- Learning All Subfunctions of a Function -- When Is Small Beautiful? -- Learning a Function of r Relevant Variables -- Subspace Detection: A Robust Statistics Formulation -- How Fast Is k-Means? -- Universal Coding of Zipf Distributions -- An Open Problem Regarding the Convergence of Universal A Priori Probability -- Entropy Bounds for Restricted Convex Hulls -- Compressing to VC Dimension Many Points. |
| Record Nr. | UNISA-996465696503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition [[electronic resource] ] : 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings / / edited by Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese
| Pattern Recognition [[electronic resource] ] : 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings / / edited by Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XVIII, 586 p.) |
| Disciplina | 006.4/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Algorithms Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-28649-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning -- Predictive Discretization During Model Selection -- Adaptive Feature Selection in Image Segmentation -- Semi-supervised Kernel Regression Using Whitened Function Classes -- Bayesian Approaches -- Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer -- Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk -- Vision and Faces -- 3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video -- Efficient Approximations for Support Vector Machines in Object Detection -- Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features -- Vision / Motion -- Differential Analysis of Two Model-Based Vehicle Tracking Approaches -- Efficient Computation of Optical Flow Using the Census Transform -- Hybrid Model-Based Estimation of Multiple Non-dominant Motions -- Biologically Motivated Approaches -- A Model of Motion, Stereo, and Monocular Depth Perception -- POI Detection Using Channel Clustering and the 2D Energy Tensor -- Segmentation -- 3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model -- Hierarchical Image Segmentation Based on Semidefinite Programming -- Fast Random Sample Matching of 3d Fragments -- Object Recognition -- Invariants for Discrete Structures – An Extension of Haar Integrals over Transformation Groups to Dirac Delta Functions -- Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search -- Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching -- Object Recognition / Synthesis -- Estimation of Multiple Orientations at Corners and Junctions -- Phase Based Image Reconstruction in the Monogenic Scale Space -- Synthesizing Movements for Computer Game Characters -- Poster Session -- MinOver Revisited for Incremental Support-Vector-Classification -- A Semantic Typicality Measure for Natural Scene Categorization -- Tunable Nearest Neighbor Classifier -- SVM-Based Feature Selection by Direct Objective Minimisation -- Learning with Distance Substitution Kernels -- Features for Image Retrieval: A Quantitative Comparison -- Learning from Labeled and Unlabeled Data Using Random Walks -- Learning Depth from Stereo -- Learning to Find Graph Pre-images -- Multivariate Regression via Stiefel Manifold Constraints -- Hilbertian Metrics on Probability Measures and Their Application in SVM’s -- Shape from Shading Under Coplanar Light Sources -- Pose Estimation for Multi-camera Systems -- Silhouette Based Human Motion Estimation -- Cooperative Optimization for Energy Minimization in Computer Vision: A Case Study of Stereo Matching -- Building a Motion Resolution Pyramid by Combining Velocity Distributions -- A Stratified Self-Calibration Method for a Stereo Rig in Planar Motion with Varying Intrinsic Parameters -- Efficient Feature Tracking for Long Video Sequences -- Recognition of Deictic Gestures with Context -- Mosaics from Arbitrary Stereo Video Sequences -- Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space -- Multi-step Entropy Based Sensor Control for Visual Object Tracking -- Spatio–temporal Segmentation Using Laserscanner and Video Sequences -- Fast Statistically Geometric Reasoning About Uncertain Line Segments in 2D- and 3D-Space -- A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms -- Modelling Spikes with Mixtures of Factor Analysers -- An Algorithm for Fast Pattern Recognition with Random Spikes -- The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion -- Level Set Based Image Segmentation with Multiple Regions -- CVPIC Colour/Shape Histograms for Compressed Domain Image Retrieval -- The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence -- A Higher Order MRF-Model for Stereo-Reconstruction -- Adaptive Computer Vision: Online Learning for Object Recognition -- Robust Pose Estimation for Arbitrary Objects in Complex Scenes -- Vectorization-Free Reconstruction of 3D CAD Models from Paper Drawings -- Globally Consistent 3-D Reconstruction by Utilizing Loops in Camera Movement -- A Probabilistic Framework for Robust and Accurate Matching of Point Clouds -- Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit -- Lesion Preserving Image Registration with Applications to Human Brains -- Snake-Aided Automatic Organ Delineation -- Practical Gaze Point Detecting System -- Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems -- Feature and Viewpoint Selection for Industrial Car Assembly -- Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm -- Camera Orientation of Mars Express Using DTM Information -- Detection and Classification of Gateways for the Acquisition of Structured Robot Maps -- Real Time High Speed Measurement of Photogrammetric Targets -- A Simple New Method for Precise Lens Distortion Correction of Low Cost Camera Systems. |
| Record Nr. | UNINA-9910144164403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition [[electronic resource] ] : 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings / / edited by Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese
| Pattern Recognition [[electronic resource] ] : 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings / / edited by Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XVIII, 586 p.) |
| Disciplina | 006.4/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Algorithms Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-28649-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning -- Predictive Discretization During Model Selection -- Adaptive Feature Selection in Image Segmentation -- Semi-supervised Kernel Regression Using Whitened Function Classes -- Bayesian Approaches -- Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer -- Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk -- Vision and Faces -- 3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video -- Efficient Approximations for Support Vector Machines in Object Detection -- Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features -- Vision / Motion -- Differential Analysis of Two Model-Based Vehicle Tracking Approaches -- Efficient Computation of Optical Flow Using the Census Transform -- Hybrid Model-Based Estimation of Multiple Non-dominant Motions -- Biologically Motivated Approaches -- A Model of Motion, Stereo, and Monocular Depth Perception -- POI Detection Using Channel Clustering and the 2D Energy Tensor -- Segmentation -- 3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model -- Hierarchical Image Segmentation Based on Semidefinite Programming -- Fast Random Sample Matching of 3d Fragments -- Object Recognition -- Invariants for Discrete Structures – An Extension of Haar Integrals over Transformation Groups to Dirac Delta Functions -- Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search -- Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching -- Object Recognition / Synthesis -- Estimation of Multiple Orientations at Corners and Junctions -- Phase Based Image Reconstruction in the Monogenic Scale Space -- Synthesizing Movements for Computer Game Characters -- Poster Session -- MinOver Revisited for Incremental Support-Vector-Classification -- A Semantic Typicality Measure for Natural Scene Categorization -- Tunable Nearest Neighbor Classifier -- SVM-Based Feature Selection by Direct Objective Minimisation -- Learning with Distance Substitution Kernels -- Features for Image Retrieval: A Quantitative Comparison -- Learning from Labeled and Unlabeled Data Using Random Walks -- Learning Depth from Stereo -- Learning to Find Graph Pre-images -- Multivariate Regression via Stiefel Manifold Constraints -- Hilbertian Metrics on Probability Measures and Their Application in SVM’s -- Shape from Shading Under Coplanar Light Sources -- Pose Estimation for Multi-camera Systems -- Silhouette Based Human Motion Estimation -- Cooperative Optimization for Energy Minimization in Computer Vision: A Case Study of Stereo Matching -- Building a Motion Resolution Pyramid by Combining Velocity Distributions -- A Stratified Self-Calibration Method for a Stereo Rig in Planar Motion with Varying Intrinsic Parameters -- Efficient Feature Tracking for Long Video Sequences -- Recognition of Deictic Gestures with Context -- Mosaics from Arbitrary Stereo Video Sequences -- Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space -- Multi-step Entropy Based Sensor Control for Visual Object Tracking -- Spatio–temporal Segmentation Using Laserscanner and Video Sequences -- Fast Statistically Geometric Reasoning About Uncertain Line Segments in 2D- and 3D-Space -- A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms -- Modelling Spikes with Mixtures of Factor Analysers -- An Algorithm for Fast Pattern Recognition with Random Spikes -- The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion -- Level Set Based Image Segmentation with Multiple Regions -- CVPIC Colour/Shape Histograms for Compressed Domain Image Retrieval -- The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence -- A Higher Order MRF-Model for Stereo-Reconstruction -- Adaptive Computer Vision: Online Learning for Object Recognition -- Robust Pose Estimation for Arbitrary Objects in Complex Scenes -- Vectorization-Free Reconstruction of 3D CAD Models from Paper Drawings -- Globally Consistent 3-D Reconstruction by Utilizing Loops in Camera Movement -- A Probabilistic Framework for Robust and Accurate Matching of Point Clouds -- Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit -- Lesion Preserving Image Registration with Applications to Human Brains -- Snake-Aided Automatic Organ Delineation -- Practical Gaze Point Detecting System -- Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems -- Feature and Viewpoint Selection for Industrial Car Assembly -- Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm -- Camera Orientation of Mars Express Using DTM Information -- Detection and Classification of Gateways for the Acquisition of Structured Robot Maps -- Real Time High Speed Measurement of Photogrammetric Targets -- A Simple New Method for Precise Lens Distortion Correction of Low Cost Camera Systems. |
| Record Nr. | UNISA-996465428103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||