Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Giuseppe G. Calvi"'
Publikováno v:
IEEE Signal Processing Magazine. 39:63-70
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d3fd7531cdea80795470c4d1ca0adb
https://doi.org/10.1109/msp.2022.3156744
https://doi.org/10.1109/msp.2022.3156744
Publikováno v:
IJCNN
Recurrent Neural Networks (RNNs) represent the de facto standard machine learning tool for sequence modelling, owing to their expressive power and memory. However, when dealing with large dimensional data, the corresponding exponential increase in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3dea0fca29154c99e2b8a87e7ba5952
https://doi.org/10.1109/ijcnn52387.2021.9534120
https://doi.org/10.1109/ijcnn52387.2021.9534120
Publikováno v:
Recent Trends in Learning From Data ISBN: 9783030438821
The exponentially increasing availability of big and streaming data comes as a direct consequence of the rapid development and widespread use of multi-sensor technology. The quest to make sense of such large volume and variety of that has both highli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f7e2849b2aeda1517a1bb1cb7bb22c4
https://doi.org/10.1007/978-3-030-43883-8_4
https://doi.org/10.1007/978-3-030-43883-8_4
Publikováno v:
ICASSP
Past decades have witnessed excessive use of the Support Vector Machines (SVMs) in financial contexts. Despite their success, given the inherently multivariate nature of financial indices, the vector-based nature of SVM will inevitably lead to a loss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56dd936365a1c3e9cb43629750cb02c0
https://doi.org/10.1109/icassp.2019.8683383
https://doi.org/10.1109/icassp.2019.8683383
Publikováno v:
Signal Processing. 180:107862
Tensor decompositions represent a class of tools for analysing datasets of high dimensionality and variety in a natural manner, with the Canonical Polyadic Decomposition (CPD) serving as a main pillar. While the notion of CPD is closely intertwined w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c79182c8db8aa5212f03d7b6e61c121
https://doi.org/10.1016/j.sigpro.2020.107862
https://doi.org/10.1016/j.sigpro.2020.107862
Publikováno v:
EUSIPCO
Tensor networks (TNs) have been earning considerable attention as multiway data analysis tools owing to their ability to tackle the curse of dimensionality through the representation of large-scale tensors via smaller-scale interconnections of their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8fa0e27912362304f87ba4021ab9111
https://doi.org/10.23919/eusipco.2018.8553605
https://doi.org/10.23919/eusipco.2018.8553605
Publikováno v:
ICASSP
A novel method for common and individual feature analysis from exceedingly large-scale data is proposed, in order to ensure the tractability of both the computation and storage and thus mitigate the curse of dimensionality, a major bottleneck in mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7168c82fd89c9c6771c189210fb690d
https://doi.org/10.1109/icassp.2018.8461318
https://doi.org/10.1109/icassp.2018.8461318
Autor:
Andrzej Cichocki, Anh Huy Phan, Salman Ahmadi-Asl, Danilo P. Mandic, Ivan V. Oseledets, Giuseppe G. Calvi
The Canonical Polyadic decomposition (CPD) is a convenient and intuitive tool for tensor factorization; however, for higher-order tensors, it often exhibits high computational cost and permutation of tensor entries, these undesirable effects grow exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e27471fb14e4fbc4fe9e8ffb9ba3ab23
Autor:
Alicia Carrion Garcia, Danilo P. Mandic, Ramon Miralles Ricos, Apit Hemakom, Giuseppe G. Calvi, Theerasak Chanwimalueang
Publikováno v:
DSP
Financial markets undergo cycles oscillating between periods of economic growth followed by periods of recession. This is similar to the principle of sympathovagal balance in humans representing the leverages between two interactive nervous systems:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7558b3ce0294bdae26c6c9fe266c0c
https://doi.org/10.1109/icdsp.2016.7868621
https://doi.org/10.1109/icdsp.2016.7868621