2 citations · 2 across the 6 of their papers we have counts for
7 papers
Seeing enough: non-reference perceptual resolution selection for power-efficient client-side rendering
Yaru Liu, Dayllon Vinícius Xavier Lemos, Ali Bozorgian +3
Many client-side applications, especially games, render video at high resolution and frame rate on power-constrained devices, even when users perceive little or no benefit from all…
Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
Patricia West, Michelle WL Wan, Alexander Hepburn +3
Climate change demands effective legislative action to mitigate its impacts. This study explores the application of machine learning (ML) to understand the progression of climate p…
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2
The subjective quality of natural signals can be approximated with objective perceptual metrics. Designed to approximate the perceptual behaviour of human observers, perceptual met…
Learning Confidence Bounds for Classification with Imbalanced Data
Matt Clifford, Jonathan Erskine, Alexander Hepburn +2
Class imbalance poses a significant challenge in classification tasks, where traditional approaches often lead to biased models and unreliable predictions. Undersampling and oversa…
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine, Matt Clifford, Alexander Hepburn +1
Human-Computer Interaction has been shown to lead to improvements in machine learning systems by boosting model performance, accelerating learning and building user confidence. In…
Evaluating Perceptual Distance Models by Fitting Binomial Distributions to Two-Alternative Forced Choice Data
Alexander Hepburn, Raul Santos-Rodriguez, Javier Portilla
The Two Alternative Forced Choice (2AFC) paradigm offers advantages over the Mean Opinion Score (MOS) paradigm in psychophysics (PF), such as simplicity and robustness. However, wh…
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2
Perceptual metrics are traditionally used to evaluate the quality of natural signals, such as images and audio. They are designed to mimic the perceptual behaviour of human observe…