Zobrazeno 1 - 10
of 280
pro vyhledávání: '"Sergios Theodoridis"'
Publikováno v:
IEEE Access, Vol 8, Pp 90052-90068 (2020)
In this paper, the task-related fMRI problem is treated in its matrix factorization form, focusing on the Dictionary Learning (DL) approach. The proposed method allows the incorporation of a priori knowledge that is associated with both the experimen
Externí odkaz:
https://doaj.org/article/4b232556660f4465a5244c343bfe7835
Autor:
Feng Yin, Zhidi Lin, Qinglei Kong, Yue Xu, Deshi Li, Sergios Theodoridis, Shuguang Robert Cui
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 1, Pp 187-215 (2020)
In this overview paper, data-driven learning model-based cooperative localization and location data processing are considered, in line with the emerging machine learning and big data methods. We first review (1) state-of-the-art algorithms in the con
Externí odkaz:
https://doaj.org/article/101250d4f14842b2bd5c50d8314ae882
Autor:
Manuel Morante, Yannis Kopsinis, Christos Chatzichristos, Athanassios Protopapas, Sergios Theodoridis
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118719- (2021)
In this paper, we introduce a novel methodology for the analysis of task-related fMRI data. In particular, we propose an alternative way for constructing the design matrix, based on the newly suggested Information-Assisted Dictionary Learning (IADL)
Externí odkaz:
https://doaj.org/article/70ac01dc43bf4b0e92b05540b2e8c22c
Autor:
Christos Chatzichristos, Manuel Morante, Nikolaos Andreadis, Eleftherios Kofidis, Yiannis Kopsinis, Sergios Theodoridis
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0234104 (2020)
Advances in computer and communications technology have deeply affected the way we communicate. Social media have emerged as a major means of human communication. However, a major limitation in such media is the lack of non-verbal stimuli, which some
Externí odkaz:
https://doaj.org/article/cd5b70df1d254d95a699dbca04f53097
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Externí odkaz:
https://doaj.org/article/f267984754924e4f9977e27fe7057177
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Very recently, a solution to the kernel-based online classification problem has been given by the adaptive projected subgradient method (APSM). The developed algorithm can be considered as a generalization of a kernel affine projection algorithm (APA
Externí odkaz:
https://doaj.org/article/efe1a5dc7243498fb0b606f1aa6d4c1a
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the fiel
Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and kee
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Morante, M, Østergaard, J & Theodoridis, S 2023, INTERPRETABLE NONNEGATIVE INCOHERENT DEEP DICTIONARY LEARNING FOR FMRI DATA ANALYSIS . in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) .
Extracting information from fMRI data constitutes a broad active area of research. Current techniques still present several limitations; some ignore relevant aspects regarding the brain functioning or lack of interpretability. In an effort to overcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d9ec91c13b71a9a89b5bff31d2b93ee
https://vbn.aau.dk/da/publications/9a6e8f6c-28d1-48c0-86fe-82817e4bc8e7
https://vbn.aau.dk/da/publications/9a6e8f6c-28d1-48c0-86fe-82817e4bc8e7