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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.