Lionel Prevost

Michael J. Baker, Françoise Détienne, Jacqueline Bourdeau, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation

Lionel Prevost, Myriam Maumy-Bertrand, Maxime Sazadaly, 2018, ANNPR.

Combining model-based and discriminative classifiers: application to handwritten character recognition

Lionel Prevost, Maurice Milgram, Loïc Oudot, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning

Lionel Prevost, Hanan Salam, Renaud Séguier, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An activation-verification model for on-line texts recognition

Lionel Prevost, Maurice Milgram, Loïc Oudot, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Classifier Combination for Face Localization in Color Images

Lionel Prevost, Maurice Milgram, Rachid Belaroussi, 2005, ICIAP.

Automatic allograph selection and multiple expert classification for totally unconstrained handwritten character recognition

Lionel Prevost, Maurice Milgram, M. Milgram, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

A Cascade of Boosted Generative and Discriminative Classifiers for Vehicle Detection

Lionel Prevost, Shehzad Muhammad Hanif, Pablo Negri, 2008, EURASIP J. Adv. Signal Process..

Texture based Text Detection in Natural Scene Images - A Help to Blind and Visually Impaired Persons

Lionel Prevost, Shehzad Muhammad Hanif, 2007, CVHI.

Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons

Lionel Prevost, Erwan Bigorgne, Philippe Phothisane, 2014, ICPRAM.

Self-Supervised Adaptation for on-Line Script Text Recognition

Lionel Prevost, Loïc Oudot, L. Prevost, 2005, Progress in Computer Vision and Image Analysis.

Artificial Neural Networks in Pattern Recognition

Lionel Prevost, Raul Rojas, R. Rojas, 2016, Lecture Notes in Computer Science.

Real-time facial feature localization by combining space displacement neural networks

Lionel Prevost, Maurice Milgram, Rachid Belaroussi, 2008, Pattern Recognit. Lett..

Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units

Lionel Prevost, Hanan Salam, Renaud Séguier, 2011, Face and Gesture 2011.

Multi-stage Combination of Geometric and Colorimetric Detectors for Eyes Localization

Lionel Prevost, Maurice Milgram, Rachid Belaroussi, 2005, ICIAP.

Multiple kernel learning SVM and statistical validation for facial landmark detection

Lionel Prevost, Vincent Rapp, Kevin Bailly, 2011, Face and Gesture 2011.

Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images

Lionel Prevost, Maurice Milgram, Rachid Belaroussi, 2006, ANNPR.

Hybrid generative/discriminative classifier for unconstrained character recognition

Lionel Prevost, Maurice Milgram, Loïc Oudot, 2005, Pattern Recognit. Lett..

Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle pdf

Lionel Prevost, Sylvain Bertrand, Thomas Chaffre, 2019, ICINCO.

Self-supervised adaptation for on-line text recognition

Lionel Prevost, Loïc Oudot, Alvaro Moises, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Comparison of Different Combination Strategies for Face Localization

Lionel Prevost, Maurice Milgram, Rachid Belaroussi, 2006, IPCV.

Techniques de coopération pour la reconnaissance d'écriture en contexte

Lionel Prevost, Loïc Oudot, 2004, Rev. d'Intelligence Artif..

A robust composite metric for head pose tracking using an accurate face model

Lionel Prevost, Erwan Bigorgne, Philippe Phothisane, 2011, Face and Gesture 2011.

Non-supervised determination of allograph sub-classes for on-line omni-scriptor handwriting recognition

Lionel Prevost, Maurice Milgram, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Evaluación de condiciones de maquinado por medio emisiones infrarrojas

Lionel Prevost, Miguel E. Ruiz, Carlos A. Lopez, 2017 .

Dual-Memory Model for Incremental Learning: The Handwriting Recognition Use Case

Lionel Prevost, Melanie Piot, Berangere Bourdoulous, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Personalizing emotion recognition using incremental random forests

Lionel Prevost, Jordan Gonzalez, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).