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PhD Students

Masters Students

Honours Students

Dylan Bryers

Bradley Christensen

Stephen Crake

Sjoerd de Feijter

Caleb Donnelly

Jerry Ferguson

Ting Gao

Leah Gilbert

Henry Gouk

Jason Hiatt

Josh Hollinshead

Yichen Hu

Caine Jameson

George Jenkins

Zac Johnson

Rosjier Lammers

Mickey Law

Tim Leathart

Hayley Littlewood

Lucy Danyang Liu

Andrew Mackintosh

Daniel Manning

Greg Meier

Julian Melchert

Brandon Nicholson

Craig Osborne

Richard Sanger

Sam Shute

Renee Smith

Shaun Stricot-Tarboton

Jessica Turner

Jeremy Utting

Thomas Wallace

Jesse Watson

Duncan Willcock

Postgraduate Students
Honours Students
Henry Gouk (Mr)



Details

  • Room No: G.1.31
  • Telephone: +64 7 838 4466
  • Extension: 6729
  • Facsimile: +64 7 838 4155

Research Interests
BCMS Honours Topic: "Feature learning with Convolutional Neural Networks."

Feature Learning is the process of learning to transform a complex feature vector, such as an image, to a compact and efficient representation that can be used by Machine Learning algorithms. In the field of Computer Vision, Convolutional Neural Networks are the state of the art method for image classification due to their feature learning abilities.

The two main goals of the project are to accelerate the speed at which Convolutional Neural Networks are trained, and to increase the usefulness of the features they learn. The project will be evaluated based on the overall speedup of the time taken to learn features, and the accuracy achieved on several Computer Vision and Artificial Intelligence tasks.

  2007 FCMS. The University of Waikato - Te Whare Wananga o Waikato