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Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition
Anh-Huy Phan, Andrzej Cichocki, Andre Uschmajew +3
Decompositions of tensors into factor matrices, which interact through a core tensor, have found numerous applications in signal processing and machine learning. A more general ten…
Hearables: Multimodal physiological in-ear sensing
Valentin Goverdovsky, Wilhelm von Rosenberg, Takashi Nakamura +5
Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time and in the community. Human body responses are…
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1
A. Cichocki, N. Lee, I. V. Oseledets +3
Machine learning and data mining algorithms are becoming increasingly important in analyzing large volume, multi-relational and multi--modal datasets, which are often conveniently…
A Distributed Quaternion Kalman Filter With Applications to Fly-by-Wire Systems
Sayed Pouria Talebi
The introduction of automated flight control and management systems have made possible aircraft designs that sacrifice arodynamic stability in order to incorporate stealth technolo…
Frequency estimation in three-phase power systems with harmonic contamination: A multistage quaternion Kalman filtering approach
Sayed Pouria Talebi, Danilo P. Mandic
Motivated by the need for accurate frequency information, a novel algorithm for estimating the fundamental frequency and its rate of change in three-phase power systems is develope…
A Quaternion Frequency and Phasor Estimator for Three-Phase Power Distribution Networks
Sayed Pouria Talebi, Professor Danilo P. Mandic
For the first time quaternions have been used for real-time frequency estimation, where the multi-dimensional nature of quaternions allows for the full characterization of three-ph…