Pattern recognition : 26th DAGM symposium, Tuebingen, Germany, August 30-September 1, 2004 : proceedings

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Detalhes bibliográficos
Autor principal: Rasmussen, Carl Edward, 1969-...., professeur en apprentissage automatique
Autor Corporativo: DAGM Symposium (Auteur)
Outros Autores: Giese, Martin A. (Directeur de la publication), Bülthoff, Heinrich H., 1950- (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Colecção:Lecture notes in computer science 3175
Assuntos:
Acesso em linha:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Pattern recognition, 26th DAGM symposium, Tuebingen, Germany, August 30-September 1, 2004, proceedings, Carl Edward Rasmussen, Heinrich H. Bülthoff, Martin A. Giese...[et al.](eds.), Berlin, Springer, 2004, 1 vol. (XVIII-581 p.), Lecture notes in computer science, 3-540-22945-0
• Pattern Recognition, Texte imprimé, 9783662195994
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100 1 |a Rasmussen, Carl Edward,  |d 1969-....,  |c professeur en apprentissage automatique. 
245 1 0 |a Pattern recognition :  |b 26th DAGM symposium, Tuebingen, Germany, August 30-September 1, 2004 : proceedings   |c [edited by] Carl Edward Rasmussen, Heinrich H. Bülthoff Martin A. Giese...[et al.]. 
260 |a Berlin [etc.] :  |b Springer. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Lecture notes in computer science  |v 3175  |x 1611-3349 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 0 |a 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 GameCharacters -- 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 fromDynamic 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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
650 |a Informatique 
650 |a Reconnaissance des formes (informatique) 
650 |a Algorithmes 
650 |a Intelligence artificielle 
650 |a Traitement d'images  |x Techniques numériques 
650 |a Traitement d'images 
650 |a Reconnaissance optique des formes (informatique) 
650 |a Perception des structures 
650 |a Actes de congrès 
700 1 |a Giese, Martin A.  |4 pbd 
700 1 |a Bülthoff, Heinrich H.,  |d 1950-  |4 pbd 
711 2 |a DAGM Symposium  |n (26  |d  :2004  |c  :Tübingen, Allemagne).  |4 aut 
776 0 |0 08101550X  |t Pattern recognition  |o 26th DAGM symposium, Tuebingen, Germany, August 30-September 1, 2004  |o proceedings  |f Carl Edward Rasmussen, Heinrich H. Bülthoff, Martin A. Giese...[et al.](eds.)  |c Berlin  |n Springer  |d 2004  |p 1 vol. (XVIII-581 p.)  |s Lecture notes in computer science  |z 3-540-22945-0 
776 0 |t Pattern Recognition  |b Texte imprimé  |z 9783662195994 
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