Ney, H.[Hermann]
* email: Ney, H.[Hermann]: ney AT informatik.rwthaachen.de
* Adaptation in Statistical Pattern Recognition Using Tangent Vectors
* Appearance-Based Recognition of Words in American Sign Language
* Automatic Generation of German Sign Language Glosses from German Words
* Classification error rate for quantitative evaluation of content-based image retrieval systems
* CLEF 2005 Automatic Medical Image Annotation Task, The
* Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
* comparative study of two search strategies for connected word recognition: dynamic programming and heuristic search, A
* Deformation Models for Image Recognition
* Deformations, patches, and discriminative models for automatic annotation of medical radiographs
* Discriminative Training for Object Recognition Using Image Patches
* Dynamic Programming Algorithm for Nonlinear Smoothing, A
* Enhancements for local feature based image classification
* Experiments with an Extended Tangent Distance
* Features for Image Retrieval: A Quantitative Comparison
* Geometric Features for Improving Continuous Appearance-based Sign Language Recognition
* Gesture Recognition Using Image Comparison Methods
* Improving a Discriminative Approach to Object Recognition Using Image Patches
* Invariant Image Object Recognition Using Mixture Densities
* Linear discriminant analysis and discriminative log-linear modeling
* Local context in non-linear deformation models for handwritten character recognition
* Local Representations for Multi-object Recognition
* Maximum Entropy and Gaussian Models for Image Object Recognition
* On the Estimation of Small Probabilities by Leaving-One-Out
* On the Probabilistic-Interpretation of Neural-Network Classifiers and Discriminative Training Criteria
* Pan, zoom, scan: Time-coherent, trained automatic video cropping
* Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures
* Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching
* Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition
* Sparse Patch-Histograms for Object Classification in Cluttered Images
* Statistical Image Object Recognition using Mixture Densities
* Stochastic Modelling: From Pattern Classification to Speech Recognition and Translation
* Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
* Training and Recognition of Complex Scenes Using a Holistic Statistical Model
Includes: Ney, H.[Hermann] Ney, H.
34 for Ney, H.
Neycenssac, F.[Franck]
* Contrast Enhancement Using the Laplacian-of-a-Gaussian Filter
Neyran, B.[Bruno]
* Dynamic Active Contour Model for Size Independent Blood Vessel Lumen Segmentation and Quantification in High-Resolution Magnetic Resonance Images
Neyret, F.[Fabrice]
* All-Purpose Texture Sprites
* RES: Computing the Interactions Between Real and Virtual Objects in Video Sequences
* Unified Texture Management for Arbitrary Meshes