Browsing Doctoral Theses by Thesis Supervisor "Indiveri, Giacomo"
Now showing items 1-2 of 2
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Evolving Spiking Neural Networks for Spatio- and Spectro- Temporal Data Analysis: Models, Implementations, Applications
(Auckland University of Technology, 2015)Arguably the most significant challenge in modern machine learning regards how we address the complexities of Spatio- and Spectro-Temporal Data (SSTD); i.e., data with some spatial, spectral, and temporal component. ... -
Spatio-/spectro-temporal pattern recognition using evolving probabilistic spiking neural networks
(Auckland University of Technology, 2013)Video and audio information is spatio- or spectro-(sound/frequency) temporal in nature and processing of such complex Spatio/Spectro Temporal Data (SSTD) is a challenging task in the machine learning domain. SSTD contains ...