231 search results - page 15 / 47 » Spectral domain-transfer learning |
JMLR
2012
11 years 11 months ago
2012
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
JCDL
2005
ACM
14 years 2 months ago
2005
ACM
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliogra...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We present a generalized version of spectral clustering using the graph p-Laplacian, a nonlinear generalization of the standard graph Laplacian. We show that the second eigenvecto...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...