Zobrazeno 1 - 10
of 320
pro vyhledávání: '"Adalı, Tülay"'
Coupled tensor decompositions (CTDs) perform data fusion by linking factors from different datasets. Although many CTDs have been already proposed, current works do not address important challenges of data fusion, where: 1) the datasets are often het
Externí odkaz:
http://arxiv.org/abs/2412.01102
Autor:
Cosserat, Clément, Gabrielson, Ben, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Adali, Tülay
Independent vector analysis (IVA) is an attractive solution to address the problem of joint blind source separation (JBSS), that is, the simultaneous extraction of latent sources from several datasets implicitly sharing some information. Among IVA ap
Externí odkaz:
http://arxiv.org/abs/2411.12314
Independent Vector Analysis (IVA) is a popular extension of Independent Component Analysis (ICA) for joint separation of a set of instantaneous linear mixtures, with a direct application in frequency-domain speaker separation or extraction. The mixtu
Externí odkaz:
http://arxiv.org/abs/2304.01778
This paper deals with dynamic Blind Source Extraction (BSE) from where the mixing parameters characterizing the position of a source of interest (SOI) are allowed to vary over time. We present a new source extraction model called CvxCSV which is a pa
Externí odkaz:
http://arxiv.org/abs/2212.01178
Autor:
Borsoi, Ricardo Augusto, Lehmann, Isabell, Akhonda, Mohammad Abu Baker Siddique, Calhoun, Vince, Usevich, Konstantin, Brie, David, Adali, Tülay
Discovering components that are shared in multiple datasets, next to dataset-specific features, has great potential for studying the relationships between different subjects or tasks in functional Magnetic Resonance Imaging (fMRI) data. Coupled matri
Externí odkaz:
http://arxiv.org/abs/2211.14253
Autor:
Roald, Marie, Schenker, Carla, Calhoun, Vince D., Adalı, Tülay, Bro, Rasmus, Cohen, Jeremy E., Acar, Evrim
Publikováno v:
SIAM J. Math. Data Sci. 4 (2022) 1191-1222
Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example, measurements may evolve over time or have unaligned time profiles. The
Externí odkaz:
http://arxiv.org/abs/2110.01278
Autor:
Ji, Yixin, Silva, Rogers F., Adali, Tülay, Wen, Xuyun, Zhu, Qi, Jiang, Rongtao, Zhang, Daoqiang, Qi, Shile, Calhoun, Vince D.
Publikováno v:
In NeuroImage: Clinical 2024 43
Autor:
Boukouvalas, Zois, Mallinson, Christine, Crothers, Evan, Japkowicz, Nathalie, Piplai, Aritran, Mittal, Sudip, Joshi, Anupam, Adalı, Tülay
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation during such eve
Externí odkaz:
http://arxiv.org/abs/2006.01284
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