107 search results - page 1 / 22 » The Translation-invariant Wishart-Dirichlet Process for Clus... |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We address the problem of similarity metric selection in pairwise affinity clustering. Traditional techniques employ standard algebraic context-independent sample-distance measur...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...