Ney, H.[Hermann]
Co Author Listing * email: Ney, H.[Hermann]: ney AT informatik rwthaachen de
* Adaptation in Statistical Pattern Recognition Using Tangent Vectors
* Analysis of Preprocessing Techniques for Latin Handwriting Recognition
* Appearance-Based Recognition of Words in American Sign Language
* Automatic Generation of German Sign Language Glosses from German Words
* Bag-of-visual-words models for adult image classification and filtering
* Bagging by design for continuous Handwriting Recognition using multi-objective particle swarm optimization
* 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
* Comparison of Bernoulli and Gaussian HMMs Using a Vertical Repositioning Technique for Off-Line Handwriting Recognition
* Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition
* Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition
* Constrained Energy Minimization for Matching-Based Image Recognition
* Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
* Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
* Deep Learning of Mouth Shapes for Sign Language
* Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs
* Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
* Deformation Models for Image Recognition
* Deformation-Aware Log-Linear Models
* Deformations, patches, and discriminative models for automatic annotation of medical radiographs
* Discriminative Training for Object Recognition Using Image Patches
* Does the Cost Function Matter in Bayes Decision Rule?
* Dynamic Programming Algorithm for Nonlinear Smoothing, A
* Efficient approximations to model-based joint tracking and recognition of continuous sign language
* ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
* Enhanced continuous sign language recognition using PCA and neural network features
* Enhancements for local feature based image classification
* Enhancing a Sign Language Translation System with Vision-Based Features
* Experiments with an Extended Tangent Distance
* Fast and the Flexible: Extended Pseudo Two-Dimensional Warping for Face Recognition, The
* Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition
* Features for Image Retrieval: A Quantitative Comparison
* Fine-Grained Visual Categorization with 2D-Warping
* Framewise and CTC training of Neural Networks for handwriting recognition
* Fundamental Technologies in Modern Speech Recognition
* Geometric Features for Improving Continuous Appearance-based Sign Language Recognition
* Gesture Recognition Using Image Comparison Methods
* Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained Gaussian HMM: A comparison for offline handwriting recognition
* Image warping for face recognition: From local optimality towards global optimization
* Improvements in RWTH's System for Off-Line Handwriting Recognition
* Improving a Discriminative Approach to Object Recognition Using Image Patches
* Invariant Image Object Recognition Using Mixture Densities
* Investigation of Segmental Conditional Random Fields for large vocabulary handwriting recognition
* Jointly optimising relevance and diversity in image retrieval
* Latent Log-Linear Models for Handwritten Digit Classification
* Learning Local Convolutional Features for Face Recognition with 2D-Warping
* Learning weighted distances for relevance feedback in image retrieval
* LIMSI handwriting recognition system for the HTRtS 2014 contest, The
* 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
* Log-linear Mixtures for Object Class Recognition
* Maximum Entropy and Gaussian Models for Image Object Recognition
* May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora
* Modality Combination Techniques for Continuous Sign Language Recognition
* Moment-Based Image Normalization for Handwritten Text Recognition
* Neural Sign Language Translation
* Object classification by fusing SVMs and Gaussian mixtures
* On the Estimation of Small Probabilities by Leaving-One-Out
* On the Probabilistic-Interpretation of Neural-Network Classifiers and Discriminative Training Criteria
* Open Vocabulary Arabic Handwriting Recognition Using Morphological Decomposition
* Optimizing Energies for Pose-Invariant Face Recognition
* 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
* Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm
* Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition
* Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
* Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition
* Smoothed Disparity Maps for Continuous American Sign Language Recognition
* Sparse Patch-Histograms for Object Classification in Cluttered Images
* Speeding up 2D-warping for pose-invariant face recognition
* Statistical Image Object Recognition using Mixture Densities
* Stochastic Modelling: From Pattern Classification to Speech Recognition and Translation
* Surf-face: Face Recognition Under Viewpoint Consistency Constraints
* SVMs, Gaussian mixtures, and their generative/discriminative fusion
* Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
* Training and Recognition of Complex Scenes Using a Holistic Statistical Model
* Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction
* Warp that smile on your face: Optimal and smooth deformations for face recognition
* Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
* White-space models for offline Arabic handwriting recognition
* Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition
Includes: Ney, H.[Hermann] Ney, H.
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