3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2013★ 2 cited
Combining Feature and Prototype Pruning by Uncertainty Minimization
Marc Sebban, Richard Nock
We focus in this paper on dataset reduction techniques for use in k-nearest neighbor classification. In such a context, feature and prototype selections have always been independen…
cs.CV2010★ 3 cited
Boosting k-NN for categorization of natural scenes
Paolo Piro, Richard Nock, Frank Nielsen +1
The k-nearest neighbors (k-NN) classification rule has proven extremely successful in countless many computer vision applications. For example, image categorization often relies on…