Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Joseph Noailles"'
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 2, Iss 1, Pp 1-8 (2013)
Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r
Externí odkaz:
https://doaj.org/article/2c67fa8982cc48d08582c0b3a68ccd64
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 4, Pp 1-8 (2013)
Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r
Externí odkaz:
https://doaj.org/article/34ca3727e0b54f6c81de598a3999ad05
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 4, Pp 1-8 (2013)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 2, Iss 1, Pp 1-8 (2013)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 2, Iss 1, Pp 1-8 (2013)
Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r
Autor:
Joseph Noailles, Dorin Preda
Publikováno v:
Mathematical Programming. 103:309-333
Integrating logical constraints into optimal control problems is not an easy task. In fact, optimal control problems are usually continuous while logical constraints are naturally expressed by integer (binary) variables. In this article we are intere
Autor:
Sandrine Mouysset, Jean-Marc Girault, Irène Buvat, Simon Stute, Hiba Zbib, Sylvie Chalon, Clovis Tauber, Joseph Noailles, Jamal Charara
Publikováno v:
Physics in Medicine and Biology
Physics in Medicine and Biology, 2013, vol. 58 (n° 19), pp. 6931-6944. ⟨10.1088/0031-9155/58/19/6931⟩
Physics in Medicine and Biology; Vol 58
Physics in Medicine and Biology, IOP Publishing, 2013, vol. 58 (n° 19), pp. 6931-6944. ⟨10.1088/0031-9155/58/19/6931⟩
Physics in Medicine and Biology 58(19) 6931-44 (2013)
ZENODO
HEALTH FP7 Publications Database
Open Archive Toulouse Archive Ouverte
Physics in Medicine and Biology, 2013, vol. 58 (n° 19), pp. 6931-6944. ⟨10.1088/0031-9155/58/19/6931⟩
Physics in Medicine and Biology; Vol 58
Physics in Medicine and Biology, IOP Publishing, 2013, vol. 58 (n° 19), pp. 6931-6944. ⟨10.1088/0031-9155/58/19/6931⟩
Physics in Medicine and Biology 58(19) 6931-44 (2013)
ZENODO
HEALTH FP7 Publications Database
Open Archive Toulouse Archive Ouverte
Segmentationis often required for the analysis ofdynamicpositron emission tomography (PET)images. However, noise and low spatial resolution make it a difficult task and several supervised and unsupervised methods have been proposed in the literature
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642288388
PACBB
PACBB
Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b472f6cd531aeddd0970aef8b47dad8
https://doi.org/10.1007/978-3-642-28839-5_1
https://doi.org/10.1007/978-3-642-28839-5_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642193279
VECPAR
VECPAR
Spectral Clustering is one of the most important method based on space dimension reduction used in Pattern Recognition. This method consists in selecting dominant eigenvectors of a matrix called affinity matrix in order to define a low-dimensional da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a89db594c18f838ebf61de92337048f
https://doi.org/10.1007/978-3-642-19328-6_37
https://doi.org/10.1007/978-3-642-19328-6_37
Publikováno v:
SIAM Journal on Scientific and Statistical Computing. 13:47-70
A block version of Cimmino’s algorithm for solving general sets of consistent sparse linear equations is described. The case of matrices in block tridiagonal form is emphasized because it is assumed that the general case can be reduced to this form
Publikováno v:
High Performance Computing for Computational Science-VECPAR 2008 ISBN: 9783540928584
VECPAR
VECPAR
Clustering aims to partition a data set by bringing together similar elements in subsets. Spectral clustering consists in selecting dominant eigenvectors of a matrix called affinity matrix in order to define a low-dimensional data space in which data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ade0ea672b10b05569d5154212cd8f9
https://doi.org/10.1007/978-3-540-92859-1_34
https://doi.org/10.1007/978-3-540-92859-1_34