89 citations · 134 across the 3 of their papers we have counts for
3 papers · 1 filter
Image Classification Using SVMs: One-against-One Vs One-against-All
Gidudu Anthony, Hulley Gregg, Marwala Tshilidzi
Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. They have their roots in Statistical Learning Theory an…
Evolving Classifiers: Methods for Incremental Learning
Greg Hulley, Tshilidzi Marwala
The ability of a classifier to take on new information and classes by evolving the classifier without it having to be fully retrained is known as incremental learning. Incremental…
Classification of Images Using Support Vector Machines
Gidudu Anthony, Hulley Greg, Marwala Tshilidzi
Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. They have their roots in Statistical Learning Theory an…