Heute, L.
* 1993: Multi-Classifier Strategy for the Recognition of Handwritten Cursive Words, A
Heute, U.
* 1995: Subband DFT I: Definition, Interpretation and Extensions
* 1995: Subband DFT II: Accuracy, Complexity and Applications
* 1999: Structural sub-band decomposition of sequences and its applications in signal processing
* 2003: Arithmetic errors in the sub-band FFT: derivation of error equations and simulation results
* 2004: Two-dimensional subband transforms: theory and applications
* 2012: Instrumental Assessment of Prosodic Quality for Text-to-Speech Signals
* 2017: Comparison of different methods to suppress muscle artifacts in EEG signals
Includes: Heute, U. Heute, U.[Ulrich]
7 for Heute, U.
Heuten, W.[Wilko]
* 2015: Making Lifelogging Usable: Design Guidelines for Activity Trackers
* 2015: Visual Overlay on OpenStreetMap Data to Support Spatial Exploration of Urban Environments
Heutschi, K.[Kurt]
* 2014: Developing a GIS-Based Visual-Acoustic 3D Simulation for Wind Farm Assessment
Heutte, L.
* 1992: Two aspects of automatic map treatment: road and texture extractions
* 1996: Combining Structural and Statistical Features for the Recognition of Handwritten Characters
* 1996: Numeral Amount Recognition on Multi-Bank Checks
* 1998: Structural/Statistical Feature Based Vector for Handwritten Character Recognition, A
* 2002: Handwritten text recognition through writer adaptation
* 2002: Writer identification by writer's invariants
* 2003: Information retrieval based writer identification
* 2003: new classifier simulator for evaluating parallel combination methods, A
* 2003: Numerical sequence extraction in handwritten incoming mail documents
* 2004: Enriching Historical Manuscripts: The Bovary Project
* 2004: multiple agent architecture for handwritten text recognition, A
* 2004: Simulating classifier ensembles of fixed diversity for studying plurality voting performance
* 2004: Unsupervised writer adaptation applied to handwritten text recognition
* 2005: Automatic extraction of numerical sequences in handwritten incoming mail documents
* 2005: Controlling the diversity in classifier ensembles through a measure of agreement
* 2005: Handwritten Document Analysis for Automatic Writer Recognition
* 2005: Handwritten document segmentation using hidden Markov random fields
* 2005: On foreground-background separation in low quality color document images
* 2005: writer identification and verification system, A
* 2006: Complex Handwritten Page Segmentation Using Contextual Models
* 2006: Experimental Comparison of Combination Rules using Simulated Data
* 2006: Markovian Approach for Handwritten Document Segmentation, A
* 2006: On foreground/background separation in low quality document images
* 2006: Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
* 2006: two-stage outlier rejection strategy for numerical field extraction in handwritten documents, A
* 2007: Detection and recognition of erasures in on-line captured paper forms
* 2007: Document Image Segmentation Using a 2D Conditional Random Field Model
* 2007: Machine Dating of Handwritten Manuscripts
* 2007: Multi-Objective Optimization for SVM Model Selection
* 2007: Using Random Forests for Handwritten Digit Recognition
* 2009: Automatic Extraction of Droppers in Catenary Scenes
* 2009: Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System
* 2009: Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes, A
* 2009: Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
* 2010: Alpha-Numerical Sequences Extraction in Handwritten Documents
* 2010: Information Extraction Model for Unconstrained Handwritten Documents, An
* 2010: multi-model selection framework for unknown and/or evolutive misclassification cost problems, A
* 2010: New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling, A
* 2010: Structure Adaptation of HMM Applied to OCR
* 2012: categorization system for handwritten documents, A
* 2012: Dynamic Random Forests
* 2012: New Random Forest Method for One-Class Classification, A
* 2012: Random Forest Based Approach for One Class Classification in Medical Imaging, A
* 2013: One class random forests
* 2013: Spot It! Finding Words and Patterns in Historical Documents
* 2015: Segmentation-free pattern spotting in historical document images
* 2016: Extreme learning machine for out-of-sample extension in Laplacian eigenmaps
* 2016: Pattern localization in historical document images via template matching
* 2016: scalable pattern spotting system for historical documents, A
* 2018: Dynamic Voting in Multi-view Learning for Radiomics Applications
* 2018: Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images
* 2019: Random forest dissimilarity based multi-view learning for Radiomics application
* 2020: Improving pattern spotting in historical documents using feature pyramid networks
* 2021: Novel Random Forest Dissimilarity Measure for Multi-View Learning, A
* 2022: Image Retrieval and Pattern Spotting on Historical Documents with Binary Descriptors
* 2023: Approximating dynamic time warping with a convolutional neural network on EEG data
Includes: Heutte, L. Heutte, L.[Laurent]
56 for Heutte, L.