Sciweavers

1454 search results - page 200 / 291
» On High Dimensional Skylines
Sort
View
121
Voted
ICML
2004
IEEE
16 years 1 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
90
Voted
ICML
2003
IEEE
16 years 1 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
89
Voted
ISBI
2006
IEEE
16 years 1 months ago
Joint estimation in MRI using harmonic retrieval methods
One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultane...
Hien M. Nguyen, Robert L. Morrison Jr., Bradley P....
DCC
2009
IEEE
16 years 1 months ago
Clustered Reversible-KLT for Progressive Lossy-to-Lossless 3d Image Coding
The RKLT is a lossless approximation to the KLT, and has been recently employed for progressive lossy-to-lossless coding of hyperspectral images. Both yield very good coding perfo...
Ian Blanes, Joan Serra-Sagristà
133
Voted
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 1 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi