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» Regularization on Discrete Spaces
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IPL
2011
131views more  IPL 2011»
13 years 2 months ago
The regularized least squares algorithm and the problem of learning halfspaces
We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKH...
Ha Quang Minh
IDEAL
2000
Springer
13 years 11 months ago
Clustering by Similarity in an Auxiliary Space
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
Janne Sinkkonen, Samuel Kaski
COMGEO
2002
ACM
13 years 7 months ago
Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited
The goals of this paper are twofold. The first is to present a new sampling theory for curves, based on a new notion of local feature size. The properties of this new feature size...
Daniel Freedman
ACII
2005
Springer
13 years 9 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...
JMIV
1998
106views more  JMIV 1998»
13 years 7 months ago
Linear Scale-Space Theory from Physical Principles
In the past decades linear scale-space theory was derived on the basis of various axiomatics. In this paper we revisit these axioms and show that they merely coincide with the foll...
Alfons H. Salden, Bart M. ter Haar Romeny, Max A. ...