153 search results - page 19 / 31 » Worst-Case Analysis of Selective Sampling for Linear-Thresho... |
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
ASPDAC
2006
ACM
14 years 1 months ago
2006
ACM
— This work develops an analytic framework for clock tree analysis considering process variations that is shown to correspond well with Monte Carlo results. The analysis framewor...
BMCBI
2007
13 years 7 months ago
2007
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper details a new modular approach to virtual view creation that is designed to work in conjunction with a proposed scalable teleconferencing configuration. This scalable s...
JCP
2008
13 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...