Djamel Bouchaffra

发表

A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images

Djamel Bouchaffra, Azzedine Touazi, 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

Induced Subgraph Game for Ensemble Selection

Djamel Bouchaffra, Hadjer Ykhlef, 2015, ICTAI.

A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models

Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott, 2008, EURASIP J. Adv. Signal Process..

Topological Dynamic Bayesian Networks

Djamel Bouchaffra, 2010, 2010 20th International Conference on Pattern Recognition.

Topological dynamic Bayesian networks: Application to human face identification across ages

Djamel Bouchaffra, D. Bouchaffra, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Postprocessing of Recognized Strings Using Nonstationary Markovian Models

Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Structural hidden Markov models: An application to handwritten numeral recognition

Djamel Bouchaffra, Jun Tan, D. Bouchaffra, 2006, Intell. Data Anal..

Postprocessing of Recognized Strings Using

Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari, 1999 .

A Markov Mesh Modelling On Uncertain Galois Lattice: Classification in Terminology

Djamel Bouchaffra, Jean-Guy Meunier, J. Meunier, 1995 .

A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach

Djamel Bouchaffra, Jean Guy Meunier, J. Meunier, 1995, DEXA Workshop.

Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining

Abbes Amira, Djamel Bouchaffra, Ce Zhu, 2010, Adv. Artif. Intell..

3D HMM-based Facial Expression Recognition using Histogram of Oriented Optical Flow

Djamel Bouchaffra, Mohamed A. Zohdy, Sheng H Kung, 2016 .

Mapping Dynamic Bayesian Networks to $\alpha$-Shapes: Application to Human Faces Identification Across Ages

Djamel Bouchaffra, D. Bouchaffra, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory

Djamel Bouchaffra, Nabil Zerrouki, Youcef Brik, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

Embedding HMM’s-based models in a Euclidean space: The topological hidden Markov models

Djamel Bouchaffra, D. Bouchaffra, 2008, 2008 19th International Conference on Pattern Recognition.

A Markovian random field approach to information retrieval

Djamel Bouchaffra, Jean Guy Meunier, J. Meunier, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Introduction to the concept of structural HMM: application to mining customers' preferences in automotive design

Djamel Bouchaffra, Jun Tan, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

An efficient ensemble pruning approach based on simple coalitional games

Djamel Bouchaffra, Hadjer Ykhlef, D. Bouchaffra, 2017, Inf. Fusion.

Structural hidden Markov models for biometrics: Fusion of face and fingerprint

Abbes Amira, Djamel Bouchaffra, A. Amira, 2008, Pattern Recognit..

Incorporating diverse information sources in handwriting recognition postprocessing

Djamel Bouchaffra, Eugene Koontz, V. Krpā sundar, 1996 .

Genetic-based EM algorithm for learning Gaussian mixture models

Djamel Bouchaffra, Franz Pernkopf, F. Pernkopf, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Protein Fold Recognition using a Structural Hidden Markov Model

Djamel Bouchaffra, Jun Tan, D. Bouchaffra, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification?

Djamel Bouchaffra, Nabil Zerrouki, D. Bouchaffra, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Coalitional game-based adaboost

Djamel Bouchaffra, Hadjer Ykhlef, Farid Ykhlef, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition

Djamel Bouchaffra, D. Bouchaffra, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Structural Hidden Markov Model and Its Application in Automotive Industry

Djamel Bouchaffra, Jun Tan, 2003, ICEIS.

Recognition of strings using nonstationary Markovian models: an application in ZIP code recognition

Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

A methodology for deriving probabilistic correctness measures from recognizers

Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Consistent regions in probabilistic logic when using different norms

Djamel Bouchaffra, D. Bouchaffra, 1993 .

Incorporating diverse information sources in handwriting recognition postprocessing

Djamel Bouchaffra, Eugene Koontz, V. Krpa sundar, 1996, Int. J. Imaging Syst. Technol..

Induced Subgraph Game for Ensemble Selection

Djamel Bouchaffra, Hadjer Ykhlef, D. Bouchaffra, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs

Djamel Bouchaffra, Jun Tan, D. Bouchaffra, 2005, Data Mining and Knowledge Discovery.

Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems

Djamel Bouchaffra, Fayçal Ykhlef, Farid Ykhlef, 2019, JERI.

Feature Selection Scheme Based on Zero-Sum Two-Player Game

Djamel Bouchaffra, Azzedine Touazi, Fatiha Mokdad, 2014, 2014 22nd International Conference on Pattern Recognition.

IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011: Preface

Igor Wojnicki, Manoj Kumar Tiwari, Djamel Bouchaffra, 2011, IMECS 2011.

A Methodology for Mapping Scores to Probabilities

Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Djamel Bouchaffra, D. Bouchaffra, 2010, Pattern Recognit..

Machine learning and pattern recognition models in change detection

Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, 2015, Pattern Recognit..

Feature generation and machine learning for robust multimodal biometrics

Abbes Amira, Djamel Bouchaffra, 2008, Pattern Recognit..

Land Cover Change Detection based on Homology Theory

Djamel Bouchaffra, Jun Tan, Faycal Ykhlef, 2019, International Symposium on Image and Signal Processing and Analysis.

Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion

Djamel Bouchaffra, D. Bouchaffra, 2005, Int. J. Robotics Autom..

Introduction to the concept of structural HMM: application to mining customers' preferences in automotive design

Djamel Bouchaffra, Jindong Tan, 2004, ICPR 2004.

Multiresolution Hybrid Approaches for Automated Face Recognition

Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott, 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).

Determination of an optimal feature selection method based on maximum Shapley value

Djamel Bouchaffra, Nabil Zerrouki, Azzedine Touazi, 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

Probabilistic logic with minimum perplexity: Application to language modeling

Djamel Bouchaffra, 2005, Pattern Recognit..

Random Forest and Filter Bank Common Spatial Patterns for EEG-Based Motor Imagery Classification

Djamel Bouchaffra, Et-Tahir Zemouri, Bahia Yahya-Zoubir, 2014, 2014 5th International Conference on Intelligent Systems, Modelling and Simulation.

Conformation-Based Hidden Markov Models: Application to Human Face Identification

Djamel Bouchaffra, D. Bouchaffra, 2010, IEEE Transactions on Neural Networks.