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Dive into the research topics where Keith Godfrey is active.

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Featured researches published by Keith Godfrey.


ieee region 10 conference | 1992

Applying neural networks to colour image data compression

Keith Godfrey; Yiannis Attikiouzel

A self-organizing neural network is used to achieve color image segmentation and image data compression, with an adaptive codebook for faster training. Neural network architectures are well-suited to high speed processing because they are massively parallel. By adding an external threshold decision, a compression network can build its codebook adaptively and therefore speed the compression process. A 24-bit color image is compressed to 6.39 bit with virtually no visual degradation.<<ETX>>


Archive | 2016

Pitching Research Evolution: An Illustrative Example on the Topic of 'Innovation and Financial Dependence'

Robert W. Faff; Keith Godfrey; Jie Teng

As a visiting exchange student to the University of Queensland from China, Jie Teng, approached the 1st author inquiring about opportunities for research projects. Recognizing that the student had only limited exposure to research and an unknown appreciation of what it entails, the mentor devised a program of incremental “discovery” and learning, based on Faff’s (2015, 2016) “pitching research” template tool. Under close guidance, Jie was asked to choose a recent academic paper of interest to him and then to reverse engineer a “pitch” for that chosen paper. The target for this exercise was Acharya and Xu (2013, NBER) (now a forthcoming paper in Journal of Financial Economics, Acharya and Xu 2016): a paper examining the topic of “Innovation and Financial Dependence”. The pitching process was completed, in 10 small stages, over a period of about 5 weeks. The current paper provides a narrative of this research journey aimed at helping other research mentors facing similar situations.


Proceedings of First International Workshop on Wireless Image/Video Communications | 1996

Non-linear quantisation effects in digital colour systems

Keith Godfrey; Yiannis Attikiouzel

This paper shows that quantisation of colour pixels, essential to digital imagery, causes non-linear correlation in the permitted values of chromaticity coordinates in linear-intensity CIE colour spaces. It follows that colour video and image coding schemes based on these colour spaces will suffer an inherent preference for certain chromaticities.


Social Science Research Network | 2017

Bitcoin Time-of-Day, Day-of-Week and Month-of-Year Effects in Returns and Trading Volume

Dirk G. Baur; Daniel Cahill; Keith Godfrey; Zhangxin Frank Liu


Pacific-basin Finance Journal | 2017

Toward a model-free measure of market efficiency

Keith Godfrey


Pacific-basin Finance Journal | 2016

Detecting the great short squeeze on Volkswagen

Keith Godfrey


Archive | 2012

Can pairs trading act like arbitrage to enforce the law of one price

Keith Godfrey


color imaging conference | 1998

Digital Color Quantization Patterns in CIE Spaces and Artifacts from Misaligned Color Planes

Keith Godfrey


Capabilities of Polar Backpropagation in Polar Classification and Image Colour Analysis | 1998

Capabilities of Polar Backpropagation in Polar Classification and Image Colour Analysis

Keith Godfrey


Non-linear Quantization Effects in Digital Colour Systems | 1996

Non-linear Quantization Effects in Digital Colour Systems

Keith Godfrey; Yiannis Attikiouzel

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Daniel Cahill

University of Western Australia

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Dirk G. Baur

University of Western Australia

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Robert W. Faff

University of Queensland

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Zhangxin Frank Liu

University of Western Australia

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