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158
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
181
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
181
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
167
Voted
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
218
Voted
ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...