Laurent Heutte

发表

Grapheme Based Writer Verification

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2003 .

Un modèle neuro markovien profond pour l'extraction de séquences dans des documents manuscrits

Simon Thomas, Clément Chatelain, Thierry Paquet, 2013, Document Numérique.

Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis

Laurent Heutte, Aurélien Saint-Réquier, Benoît Lelandais, 2009, ICIC.

Numerical Field Extraction in Handwritten Incoming Mail Documents

Thierry Paquet, Laurent Heutte, Guillaume Koch, 2003, PRIS.

Document Image Analysis using Markovian Models:: Application to Historical Documents

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2014 .

A structural/statistical feature based vector for handwritten character recognition

Yves Lecourtier, Christian Olivier, Thierry Paquet, 1998, Pattern Recognit. Lett..

Handwritten numeral recognition based on multiple feature extractors

Yves Lecourtier, Laurent Heutte, Jean-Vincent Moreau, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Spot It! Finding Words and Patterns in Historical Documents

Laurent Heutte, Stéphane Nicolas, Vladislavs Dovgalecs, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Combining structural and statistical features for the recognition of handwritten characters

Yves Lecourtier, Christian Olivier, Thierry Paquet, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Multiple Instance Learning for Histopathological Breast Cancer Images

Paul Honeine, Caroline Petitjean, Laurent Heutte, 2019 .

Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings

Laurent Heutte, De-Shuang Huang, Marco Loog, 2007, ICIC.

Automatic Extraction of Droppers in Catenary Scenes

Caroline Petitjean, Laurent Heutte, Régis Kouadio, 2009, MVA.

Extraction de structure de documents manuscrits non contraints par Champs Aléatoires Conditionnels 2D

Laurent Heutte, Emmanuèle Grosicki, Stéphane Nicolas, 2009 .

Digitizing cultural heritage manuscripts: the Bovary project

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2003, DocEng '03.

Two aspects of automatic map treatment: road and texture extractions

Yves Lecourtier, Laurent Heutte, J. M. Ogier, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Extreme learning machine for out-of-sample extension in Laplacian eigenmaps

Caroline Petitjean, Laurent Heutte, Arturo Mendoza Quispe, 2016, Pattern Recognit. Lett..

Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications

De-Shuang Huang, Marco Loog, Laurent Heutte, 2007 .

Documents manuscrits et recherche d'information

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2003, Document Numérique.

Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2012, IEEE Transactions on Biomedical Engineering.

A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes

Caroline Petitjean, Laurent Heutte, Régis Kouadio, 2009, IbPRIA.

Alpha-Numerical Sequences Extraction in Handwritten Documents

Simon Thomas, Clément Chatelain, Thierry Paquet, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

Recognition-based Vs Syntax-directed Models for Numerical Field Extraction in Handwritten Documents

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2008 .

Deep features for breast cancer histopathological image classification

Luiz Eduardo Soares de Oliveira, Caroline Petitjean, Laurent Heutte, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Palmprint identification using restricted fusion

Kwok-Wing Chau, Bin Ling, Laurent Heutte, 2008, Appl. Math. Comput..

Handwriting analysis for writer verification

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System

Caroline Petitjean, Laurent Heutte, Mathieu Salaün, 2009, MVA.

Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging

Laurent Heutte, Caroline Petitjean, Chesner Désir, 2016, Handbook of Pattern Recognition and Computer Vision.

A writer identification and verification system

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2005, Pattern Recognit. Lett..

A Study of Strength and Correlation in Random Forests

Laurent Heutte, Sébastien Adam, Simon Bernard, 2010, ICIC.

Combination of contextual information for handwritten word recognition

Thierry Paquet, Laurent Heutte, Guillaume Koch, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Multi-Bank Check Recognition System: Consideration on The Numeral Amount Recognition Module

Yves Lecourtier, Laurent Heutte, Jean-Vincent Moreau, 1997, Int. J. Pattern Recognit. Artif. Intell..

A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling

Laurent Heutte, Emmanuèle Grosicki, Stéphane Nicolas, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

Discrimination between digits and outliers in handwritten documents applied to the extraction of numerical fields

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2006 .

Writer identification by writer's invariants

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Advanced Intelligent Computing Theories and Applications

De-Shuang Huang, Marco Loog, Laurent Heutte, 2010, Lecture Notes in Computer Science.

Machine Dating of Handwritten Manuscripts

Utpal Garain, Swapan K. Parui, Thierry Paquet, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Detection and recognition of erasures in on-line captured paper forms

Thierry Paquet, Laurent Heutte, Alain Wiart, 2007, Pattern Recognit. Lett..

Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings

Laurent Heutte, De-Shuang Huang, Marco Loog, 2007, ICIC.

HANDWRITTEN TEXT RECOGNITION USING A MULTIPLE-AGENT ARCHITECTURE TO ADAPT THE RECOGNITION TASK

Thierry Paquet, Laurent Heutte, A. Nosary, 2004 .

Multi-Objective Optimization for SVM Model Selection

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

An Information Extraction Model for Unconstrained Handwritten Documents

Simon Thomas, Clément Chatelain, Thierry Paquet, 2010, 2010 20th International Conference on Pattern Recognition.

Linear Discriminant Analysis for Zero-shot Learning Image Retrieval

Frédéric Jurie, Caroline Petitjean, Laurent Heutte, 2015, VISAPP.

Controlling the diversity in classifier ensembles through a measure of agreement

Yves Lecourtier, Laurent Heutte, Héla Zouari, 2005, Pattern Recognit..

A new classifier simulator for evaluating parallel combination methods

Adel M. Alimi, Yves Lecourtier, Laurent Heutte, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Numerical sequence extraction in handwritten incoming mail documents

Thierry Paquet, Laurent Heutte, Guillaume Koch, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Segmentation-free pattern spotting in historical document images

Caroline Petitjean, Laurent Heutte, Sovann En, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

A Markovian Approach for Handwritten Document Segmentation

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A Dataset for Breast Cancer Histopathological Image Classification

Luiz Eduardo Soares de Oliveira, Caroline Petitjean, Laurent Heutte, 2016, IEEE Transactions on Biomedical Engineering.

Random forest dissimilarity based multi-view learning for Radiomics application

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2019, Pattern Recognit..

A syntax-directed method for numerical field extraction using classifier combination

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Keynote 3: Random forests for biomedical data classification

Laurent Heutte, 2017, ICSIPA.

Complex handwritten page segmentation using contextual models

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2006, Second International Conference on Document Image Analysis for Libraries (DIAL'06).

A categorization system for handwritten documents

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2011, International Journal on Document Analysis and Recognition (IJDAR).

Source-to-Source Instrumentation for the Optimization of an Automatic Reading System

Yves Lecourtier, Laurent Heutte, Paulo Barbosa-Pereira, 2004, The Journal of Supercomputing.

Simulating Classifier Outputs for Evaluating Parallel Combination Methods

Adel M. Alimi, Yves Lecourtier, Laurent Heutte, 2003, Multiple Classifier Systems.

Video based catenary inspection for preventive maintenance on iris 320.

Caroline Petitjean, Laurent Heutte, Régis Kouadio, 2008 .

Automatic classification of human sperm head morphology

Laurent Heutte, Nancy Hitschfeld-Kahler, Caroline Petitjean, 2017, Comput. Biol. Medicine.

Classification of plant leaf images with complicated background

Xiaofeng Wang, De-Shuang Huang, Huan Xu, 2008, Appl. Math. Comput..

A two-stage outlier rejection strategy for numerical field extraction in handwritten documents

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Multiple instance learning for histopathological breast cancer image classification

Luiz Eduardo Soares de Oliveira, Paul Honeine, Caroline Petitjean, 2019, Expert Syst. Appl..

Breast cancer histopathological image classification using Convolutional Neural Networks

Luiz Eduardo Soares de Oliveira, Caroline Petitjean, Laurent Heutte, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Using Random Forests for Handwritten Digit Recognition

Laurent Heutte, Sébastien Adam, Simon Bernard, 2007 .

Document Image Segmentation Using a 2D Conditional Random Field Model

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images pdf

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, ICIAR.

Information retrieval based writer identification

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Handwritten text recognition through writer adaptation

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Intégration d'informations textuelles de haut niveau en analyse de structures de documents manuscrits non contraints

Laurent Heutte, Emmanuèle Grosicki, Stéphane Nicolas, 2011, Document Numérique.

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, ArXiv.

On foreground-background separation in low quality color document images

Utpal Garain, Thierry Paquet, Laurent Heutte, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Pattern localization in historical document images via template matching

Frédéric Jurie, Caroline Petitjean, Laurent Heutte, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Text line segmentation in handwritten document using a production system

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Using Random Forests for Handwritten Digit Recognition

Laurent Heutte, Sébastien Adam, Simon Bernard, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Using a Priori Knowledge to Classify in Vivo Images of the Lung

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2010, ICIC.

New public dataset for spotting patterns in medieval document images

Frédéric Jurie, Caroline Petitjean, Laurent Heutte, 2016, J. Electronic Imaging.

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings

De-Shuang Huang, Marco Loog, Laurent Heutte, 2007, ICIC.

Defining writer's invariants to adapt the recognition task

Yves Lecourtier, Thierry Paquet, Laurent Heutte, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Region Proposal for Pattern Spotting in Historical Document Images

Frédéric Jurie, Caroline Petitjean, Laurent Heutte, 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Clustering And Bayesian Network Approaches For Discovering Handwriting Strategies Of Primary School Children

Jacques Labiche, Laurent Heutte, Philippe Leray, 2004, Int. J. Pattern Recognit. Artif. Intell..

Handwritten Document Analysis for Automatic Writer Recognition

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2005 .

Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents pdf

Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich, Laurent Heutte, 2019, ArXiv.

Unsupervised writer adaptation applied to handwritten text recognition

Thierry Paquet, Laurent Heutte, Ali Nosary, 2004, Pattern Recognit..

Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2006, Document Analysis Systems.

Pattern Spotting in Historical Documents Using Convolutional Models pdf

Caroline Petitjean, Laurent Heutte, Stéphane Nicolas, 2019, HIP@ICDAR.

A multiple agent architecture for handwritten text recognition

Thierry Paquet, Laurent Heutte, Ali Nosary, 2004, Pattern Recognit..

Communications in Computer and Information Science, 1, Volume 93, Advanced Intelligent Computing Theories and Applications; 6th International Conference on Intelligent Computing. ICIC 2010

De-Shuang Huang, Laurent Heutte, Tm McGinnity, 2010 .

A step towards the use of writer's properties for text recognition

Yves Lecourtier, Thierry Paquet, Laurent Heutte, 1998 .

Experimental Comparison of Combination Rules using Simulated Data

Yves Lecourtier, Laurent Heutte, Héla Zouari, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Multi-Objective Optimization for SVM Model Selection

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2007 .

Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields

Laurent Heutte, Emmanuèle Grosicki, Stéphane Nicolas, 2009, 2009 10th International Conference on Document Analysis and Recognition.

A New Random Forest Method for One-Class Classification

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2012, SSPR/SPR.

One class random forests

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2013, Pattern Recognit..

An SVM-based distal lung image classification using texture descriptors

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2012, Comput. Medical Imaging Graph..

Generating Classifier Outputs with Fixed Diversity for Evaluating Voting Methods

Adel M. Alimi, Yves Lecourtier, Laurent Heutte, 2004, SSPR/SPR.

Identification et Vérification du Scripteur dans des Documents Manuscrits Writer identification and verification in handwritten documents

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2005 .

Pondération dynamique en apprentissage multi-vues pour des applications radiomics

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018 .

On foreground — background separation in low quality document images

Utpal Garain, Thierry Paquet, Laurent Heutte, 2005, International Journal of Document Analysis and Recognition (IJDAR).

Influence of Hyperparameters on Random Forest Accuracy

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, MCS.

On the selection of decision trees in Random Forests

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, 2009 International Joint Conference on Neural Networks.

Simulating classifier ensembles of fixed diversity for studying plurality voting performance

Yves Lecourtier, Laurent Heutte, Héla Zouari, 2004, ICPR 2004.

The Development of a Computer-Assisted Tool for the Assessment of Neuropsychological Drawing Tasks

Michael C. Fairhurst, Thierry Paquet, Laurent Heutte, 2008, Int. J. Inf. Technol. Decis. Mak..

Machine Dating of Handwritten Manuscripts

Utpal Garain, Thierry Paquet, Laurent Heutte, 2007 .

Towards a Better Understanding of Random Forests through the Study of Strength and Correlation

Laurent Heutte, Sébastien Adam, Simon Bernard, 2009, ICIC.

Forest-RK: A New Random Forest Induction Method

Laurent Heutte, Sébastien Adam, Simon Bernard, 2008, ICIC.

A scalable pattern spotting system for historical documents

Caroline Petitjean, Laurent Heutte, Sovann En, 2016, Pattern Recognit..

A Random Forest Based Approach for One Class Classification in Medical Imaging

Caroline Petitjean, Laurent Heutte, Chesner Désir, 2012, MLMI.

Extraction automatique de pendules dans des images de caténaire

Caroline Petitjean, Laurent Heutte, Régis Kouadio, 2009 .

Authorial manuscript image analysis using markovian models: the Bovary project

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2008, 2008 16th European Signal Processing Conference.

Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers

Adel M. Alimi, Yves Lecourtier, Laurent Heutte, 2004, Multiple Classifier Systems.

A multi-model selection framework for unknown and/or evolutive misclassification cost problems

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2010, Pattern Recognit..

Simulating classifier ensembles of fixed diversity for studying plurality voting performance

Adel M. Alimi, Yves Lecourtier, Laurent Heutte, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Document Image Retrieval Using Deep Features

Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich, Alessandro L. Koerich, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Automatic extraction of information for catenary scene analysis

Caroline Petitjean, Laurent Heutte, Régis Kouadio, 2008, 2008 16th European Signal Processing Conference.

DocExplore: overcoming cultural and physical barriers to access ancient documents

Michael C. Fairhurst, Yiqing Liang, Laurent Heutte, 2012, DocEng '12.

Dynamic Random Forests

Laurent Heutte, Sébastien Adam, Simon Bernard, 2012, Pattern Recognit. Lett..

Extraction automatique de champs numériques dans des documents manuscrits

Clément Chatelain, Thierry Paquet, Laurent Heutte, 2006, EGC.

Handwritten document segmentation using hidden Markov random fields

Yousri Kessentini, Thierry Paquet, Laurent Heutte, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Document Image Segmentation Using a 2D Conditional Random Field Model

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2007 .

Image Retrieval and Pattern Spotting using Siamese Neural Network

Alessandro Lameiras Koerich, Alessandro L. Koerich, Alceu S. Britto, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A deep HMM model for multiple keywords spotting in handwritten documents

Simon Thomas, Yousri Kessentini, Clément Chatelain, 2014, Pattern Analysis and Applications.

Machine dating of manuscripts written by an individual

Utpal Garain, Swapan K. Parui, Thierry Paquet, 2008, J. Electronic Imaging.

A multi-classifier combination strategy for the recognition of handwritten cursive words

Eric Lecolinet, Laurent Heutte, Jean-Vincent Moreau, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Detection of pathological condition in distal lung images

Caroline Petitjean, Laurent Heutte, David Hebert, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic extraction of numerical sequences in handwritten incoming mail documents

Thierry Paquet, Laurent Heutte, Guillaume Koch, 2005, Pattern Recognit. Lett..

in IEEE Proceedings, Seventh International Conference on Document Analysis and Recognition, ICDAR'2003, Edinburgh, UK, vol. 2, pp. 946-950, 2003. Information Retrieval Based Writer Identification

Thierry Paquet, Ameur Bensefia, Laurent Heutte, 2003 .

Noncost Sensitive SVM Training Using Multiple Model Selection

Yves Lecourtier, Clément Chatelain, Thierry Paquet, 2010, J. Circuits Syst. Comput..

EMMEL: a framework for historical manuscript analysis and presentation

Michael C. Fairhurst, Yiqing Liang, Laurent Heutte, 2013, Universal Access in the Information Society.

2D markovian models for document structure analysis

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2008, ICFHR 2008.

Dynamic voting in multi-view learning for radiomics applications

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, S+SSPR.

Enriching Historical Manuscripts: The Bovary Project

Thierry Paquet, Laurent Heutte, Stéphane Nicolas, 2004, Document Analysis Systems.

Dynamically Selected Ensemble for Data Stream Classification

Alceu de Souza Britto, Jean Paul Barddal, Laurent Heutte, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).