Výsledky vyhledávání - "Boubaker Boufama"

A novel Bayesian logistic discriminant model: An application to face recognition

Autor: Riadh Ksantini, Djemel Ziou, Bernard Colin, Boubaker Boufama

Publikováno v: Pattern Recognition. 43:1421-1430

The linear discriminant analysis (LDA) is a linear classifier which has proven to be powerful and competitive compared to the main state-of-the-art classifiers. However, the LDA algorithm assumes the sample vectors of each class are generated from un

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0edd548f50036a0d2dd0f92109751f77
https://doi.org/10.1016/j.patcog.2009.08.021

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A new combined KSVM and KFD model for classification and recognition

Autor: Boubaker Boufama, Riadh Ksantini, Naimul Mefraz Khan, Imran Shafiq Ahmad

Publikováno v: ICDIM

The Kernel Support Vector Machine (KSVM) is a powerful nonlinear classification methodology where, the Support Vectors (SVs) fully describe the decision surface by incorporating local information in the Kernel space. On the other hand, the Kernel Fis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08ef17dc31c6b1005824062ba7716d6c
https://doi.org/10.1109/icdim.2010.5664217

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The Distinction between Virtual and Physical Planes Using Homography

Autor: Boubaker Boufama, Amir Amintabar

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642026102
ICIAR

Identification of planes from a pair of uncalibrated stereo images is a challenging problem as it can lead to extracting virtual planes instead of physical ones, especially for complex scenes. We propose a new homography-based approach to extract phy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9c30264312ba3be2279ce6abcc14e272
https://doi.org/10.1007/978-3-642-02611-9_72

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A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition

Autor: Boubaker Boufama, Riadh Ksantini

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642026102
ICIAR

The Linear Discriminant Analysis (LDA) is a linear classifier which has proven to be powerful and competitive compared to the main state-of-the-art classifiers. However, the LDA assumes that the class conditional distributions are symmetric Gaussians

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef42641fbf83569ecc9425b0a9240c44
https://doi.org/10.1007/978-3-642-02611-9_46

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