89 citations · 134 across the 3 of their papers we have counts for
3 papers
cs.LG2007★ 89 cited
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…
cs.LG2007★ 7 cited
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…
cs.LG2007★ 38 cited
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…