79 search results - page 10 / 16 » Projected Subgradient Methods for Learning Sparse Gaussians |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
ICB
2009
Springer
14 years 2 months ago
2009
Springer
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...