15 citations · 19 across the 8 of their papers we have counts for
8 papers
Hypercomplex Widely Linear Processing: Fundamentals for Quaternion Machine Learning
Sayed Pouria Talebi, Clive Cheong Took
Numerous attempts have been made to replicate the success of complex-valued algebra in engineering and science to other hypercomplex domains such as quaternions, tessarines, biquat…
A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices
Sayed Pouria Talebi, Clive Cheong Took, Danilo P. Mandic
This article considers the problem of designing adaption and optimisation techniques for training quantum learning machines. To this end, the division algebra of quaternions is use…
The HR-Calculus: Enabling Information Processing with Quaternion Algebra
Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took +4
From their inception, quaternions and their division algebra have proven to be advantageous in modelling rotation/orientation in three-dimensional spaces and have seen use from the…
On the dynamics of multi agent nonlinear filtering and learning
Sayed Pouria Talebi, Danilo Mandic
Multiagent systems aim to accomplish highly complex learning tasks through decentralised consensus seeking dynamics and their use has garnered a great deal of attention in the sign…
On Stability and Convergence of Distributed Filters
Sayed Pouria Talebi, Stefan Werner, Vijay Gupta +1
Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively es…
On Distributed Frequency Estimation in Three-Phase Power Distribution Networks
Sayed Pouria Talebi
The earlier work of the author on Frequency estimation in three-phase power systems ( that is included as the reference number 1) is expanded to the distributed setting in order pr…