Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mohamed Anouar Borgi"'
Publikováno v:
Journal of Mathematical Imaging and Vision. 62:489-504
This work addresses two main contributions for shape measurement: First, a new circularity measure for planar shapes is introduced based on their geometrical properties in the projection space of Radon transform. Second, a general-purpose evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93158c9ea6b9e2e970f74d91754cb201
https://doi.org/10.1007/s10851-019-00932-w
https://doi.org/10.1007/s10851-019-00932-w
Publikováno v:
Multimedia Tools and Applications. 77:24203-24222
In this paper, we propose a novel paradigm of Patch uniform Local Binary Patterns (PuLBP) based Local Generic Representation (LGR) for face recognition. Indeed, we introduce a new block in which an uLBP is used to approximate both reference and varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6557a4c880b026d5b44c758a0bce1247
https://doi.org/10.1007/s11042-018-5679-0
https://doi.org/10.1007/s11042-018-5679-0
Publikováno v:
International journal of machine learning and cybernetics
International journal of machine learning and cybernetics, 2018, 9 (6), pp.1023-1038. ⟨10.1007/s13042-016-0625-9⟩
International journal of machine learning and cybernetics, Springer, 2018, 9 (6), pp.1023-1038. ⟨10.1007/s13042-016-0625-9⟩
International journal of machine learning and cybernetics, 2018, 9 (6), pp.1023-1038. ⟨10.1007/s13042-016-0625-9⟩
International journal of machine learning and cybernetics, Springer, 2018, 9 (6), pp.1023-1038. ⟨10.1007/s13042-016-0625-9⟩
During the last decade, sparse representations have been successfully applied to design high-performing classification algorithms such as the classical sparse representation based classification (SRC) algorithm. More recently, collaborative represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594e7611787bf5a06b104e55a00c85f5
https://hal.science/hal-01858125
https://hal.science/hal-01858125
Publikováno v:
Expert Systems with Applications. 42:269-279
A new feature-extraction approach for efficient FR based on directional features.An augmented multi-stage or multi-regularization convex optimization.Results on various face databases demonstrate the effectiveness of our approach.The approach present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beef6df67dbf664588b08a21551b92aa
https://doi.org/10.1016/j.eswa.2014.07.044
https://doi.org/10.1016/j.eswa.2014.07.044
Publikováno v:
Multimedia Tools and Applications. 74:11281-11295
This paper presents an improved approach to face recognition, called Regularized Shearlet Network (RSN), which takes advantage of the sparse representation properties of shearlets in biometric applications. One of the novelties of our approach is tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56f11dce0da32bc15e549f2651337e8
https://doi.org/10.1007/s11042-014-2228-3
https://doi.org/10.1007/s11042-014-2228-3
Publikováno v:
ICIP
This paper investigates a new approach for face, gender and race classification, called multi-regularized learning (MRL). This approach combines ideas from the recently proposed algorithms called multi-stage learning (MSL) and multi-task features lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff3b293ff632eb054985de52fe20c09
https://doi.org/10.1109/icip.2014.7026068
https://doi.org/10.1109/icip.2014.7026068
Publikováno v:
ICPR
This paper presents a novel approach for face recognition (FR) based on a new multiscale directional approach, called Shear let Network (SN), and on a recently emerged machine learning paradigm, called Multi-Task Sparse Learning (MTSL). SN aims to ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0459224e8c4fea986d36a4d75485155e
https://doi.org/10.1109/icpr.2014.793
https://doi.org/10.1109/icpr.2014.793
Publikováno v:
ICPR
This paper presents an improved approach to face recognition, called Regularized Shear let Network (RSN), that takes advantage of the sparse representation properties of shear lets in biometric applications. The main novelty of our approach is the ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e75ca4908e9646d0bf3f63fbe61ae7
https://doi.org/10.1109/icpr.2014.317
https://doi.org/10.1109/icpr.2014.317
Publikováno v:
ICASSP
This paper presents an improved approach to face recognition, called Regularized Shearlet Network (RSN), which takes advantage of the sparse representation properties of shearlets in biometric applications. One of the novelties of our approach is tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bceb1625be3600c64ab29d7760587975
https://doi.org/10.1109/icassp.2014.6853649
https://doi.org/10.1109/icassp.2014.6853649
Publikováno v:
Image Analysis and Processing – ICIAP 2013 ISBN: 9783642411830
ICIAP (2)
ICIAP (2)
One open challenge in face recognition (FR) is the single training sample per subject. This paper addresses this problem through a novel approach that combine Shearlet Networks (SN) and PCA called (SNPCA). Shearlet Network takes advantage of the spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e320c37cdae17437bfa2c21dead1e123
https://doi.org/10.1007/978-3-642-41184-7_62
https://doi.org/10.1007/978-3-642-41184-7_62