396 search results - page 10 / 80 » Modeling High-Dimensional Data by Combining Simple Experts |
106
Voted
ICML
2006
IEEE
16 years 13 days ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
109
Voted
ICONIP
2008
15 years 1 months ago
2008
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
93
Voted
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
123
click to vote
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
121
click to vote
ECML
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...