2 citations · 4 across the 5 of their papers we have counts for
5 papers
Scalable Prototype Selection by Genetic Algorithms and Hashing
Yenisel Plasencia-Calaña, Mauricio Orozco-Alzate, Heydi Méndez-Vázquez +2
Classification in the dissimilarity space has become a very active research area since it provides a possibility to learn from data given in the form of pairwise non-metric dissimi…
Fast kNN mode seeking clustering applied to active learning
Robert P. W. Duin, Sergey Verzakov
A significantly faster algorithm is presented for the original kNN mode seeking procedure. It has the advantages over the well-known mean shift algorithm that it is feasible in hig…
Zero-error dissimilarity based classifiers
Robert P. W. Duin, Elzbieta Pekalska
We consider general non-Euclidean distance measures between real world objects that need to be classified. It is assumed that objects are represented by distances to other objects…
Domain based classification
Robert P. W. Duin, Elzbieta Pekalska
The majority of traditional classification ru les minimizing the expected probability of error (0-1 loss) are inappropriate if the class probability distributions are ill-defined o…
A Two-Stage Combined Classifier in Scale Space Texture Classification
Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny +1
Textures often show multiscale properties and hence multiscale techniques are considered useful for texture analysis. Scale-space theory as a biologically motivated approach may be…