4773 search results - page 382 / 955 » Learning from Uncertain Data |
230
Voted
CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
163
Voted
HICSS
2005
IEEE
16 years 14 days ago
2005
IEEE
Knowledge flow in interdisciplinary teams has become of particular interest as research and alliances cross traditional disciplinary boundaries, and as computing is applied in any...
204
Voted
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
221
Voted
IEEECIT
2007
IEEE
16 years 1 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
190
Voted
MICCAI
2010
Springer
15 years 5 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...