2 citations · 4 across the 8 of their papers we have counts for
16 papers
Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty
Jennie Couchman, Orestis Kaparounakis, Chatura Samarakoon +1
Independent Component Analysis (ICA) is commonly-used in electroencephalogram (EEG) signal processing to remove non-cerebral artifacts from cerebral data. Despite the ubiquity of I…
Bridging the Band Gap: What Device Physicists Need to Know About Machine Learning
Nathaniel Tye, Stephan Hofmann, Phillip Stanley-Marbell
This article surveys the landscape of semiconductor materials and devices research for the acceleration of machine learning (ML) algorithms. We observe a disconnect between the sem…
Machine Learning for Sensor Transducer Conversion Routines
Thomas Newton, James T. Meech, Phillip Stanley-Marbell
Sensors with digital outputs require software conversion routines to transform the unitless analogue-to-digital converter samples to physical quantities with correct units. These c…
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
Bilgesu Arif Bilgin, Phillip Stanley-Marbell
Computing systems that can tolerate effects of errors in their communicated data values can trade this tolerance for improved resource efficiency. Many important applications of co…
Content-Aware Automated Parameter Tuning for Approximate Color Transforms
Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell
There are numerous approximate color transforms reported in the literature that aim to reduce display power consumption by imperceptibly changing the color content of displayed ima…
Inferring Human Observer Spectral Sensitivities from Video Game Data
Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell
With the use of primaries which have increasingly narrow bandwidths in modern displays, observer metameric breakdown is becoming a significant factor. This can lead to discrepancie…