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Actes des
conférences
internationales avec
comité de lecture
Total
22
Rank
A*
2
Rank
A
9
C22 B. Thai, A.
Mokraoui, B. Matei,
P High Dynamic
Range Image Tone Mapping
Approach
Based on Separable
Near-Optimal Adaptative
Lifting Scheme ,
IEEE-EUSIPCO 2018
C21 P. Rastin, B.
Matei, Prototype-based
Clustering for
Relational Data using
Barycentric Coordinates,
IEEE IJCNN(A) 2018.
C20 J. Sublime,
D. Maurel, N. Grozavu,
B. Matei, Y. Bennani,
Optimizing exchange
confidence during
collaborative
clustering, IEEE
IJCNN(A) 2018.
C19 I. Falih, N.
Grozavu, R. Kanawati, Y.
Bennani, B. Matei
Collaborative Multi-View
Attributed Networks Minning ,IEEE
IJCNN(A) 2018.
C18 S.
Boulbazine, G. Cabanes,
B. Matei, Y. Bennani,
Online Semi-supervised
Growing Neural Gas for
Multilabels Data
Classification, IEEE
IJCNN(A) 2018.
C17 I. Brahmi, G.
Cabanes, Y. Bennani, B.
Matei, Learning Useful
Representations Through
a Stacked Self Organizing Maps
IEEE IJCNN(A) 2018.
C16 P. Rastin, B.
Matei Incremental Matrix
Reordering for
Similarity-Based Dynamic
Datasets, IEEE-ICONIP
2017.
C15 C. Laclau, B.
Matei, I. Redko, Y.
Bennani Co-clustering
throught Optimal
Transport, ICML(A*)
2017.
C14 A. Lachaud,
N. Grozavu, B.Matei, Y.
Bennani, Collaborative
Clustering between
Different Topological Partitions, IEEE
IJCNN(A) 2017.
C13 J. Sublime,
B. Matei and P. A.
Murena, Analysis of the
influence of diversity
in collaborative and
multi-view clustering,
IEEE IJCNN(A) 2017.
C12 P. Rastin, B.
Matei, G. Cabanes, I. El
Baghdadi, Signal-Based
Autonomous Clustering
for Relational Data,
IEEE IJCNN(A) 2017 .
C11 B. Matei, R.
Cohen et Y. Bennani,
Hybrid approach for
image reconstruction
based on simple
quasicrystals and L1
minimization,AAFD&SFC’16,
2016.
C10 B. Thai, A.
Mokraoui, B. Matei,
Performance Evaluation
of High Dynamic Range
Image Tone Mapping Operators Based
on Separable Non-linear
Multiresolution Families
, IEEE-EUSIPCO 2016
C9 S. Cherki, P.
Rastin, G. Cabanes, B.
Matei Improved Sparse
Prototyping for
Relational K-means, IEEE
SSCI Thessaloniki 2016.
C8 B. Matei et Y.
Bennani Pruned simple
model sets for fast
exact recovery of image,
ICDM(A*) workshop 2015.
C7 M. Kaaniche,
B. Matei et S. Meignen
Optimized Lifting
Schemes Based on ENO
Stencils for Image
Approximation, ICIP
2015.
C6 B. Matei,
Exact reconstruction of
a class of nonnegative
measures using model
sets, IEEE - Sampling Theory and
Applications (Sampta),
2015 International
Conference on Sampling
Theory.
C5 B. Matei et S.
Meignen, A. Zakharova,
On a (W)ENO-type
Multiscales
representation based on
quincunx refinement :
Application to image
compression, Curves and
surfaces. Revised
selected papers. Berlin
: Springer. Lecture
Notes in Computer
Science 6920, 473-487,
2012.
C4 J.F. Aujol et
B. Matei Simultaneous
edge and texture
compression, ICPR
International Conference
on Pattern
Recognition, 2004.
C3 B. Matei
Nonlinear Multiscales
Methods and theirs
applications to
homogenization
International
Conference: New Trends
Continuum Mechanics,
Constanta, 2003.
C2 F. Arandiga,
A. Cohen, M. Doblas, R.
Donat, B. Matei, Sparse
representations of
images by edge adapted
non-linear Multiscales
transforms, IEEE
International Conference
on Image Processing,
Barcelona, 2003.
C1 A. Cohen et B.
Matei, Compact
representations of
images by edge adapted
Multiscales transform,
IEEE International
Conference on Image
Processing,
Thessaloniki, Octobre
2001.
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