10 search results - page 2 / 2 » Sampling-based dimension reduction for subspace approximatio... |
DAC
2009
ACM
14 years 2 days ago
2009
ACM
This paper describes an automatic methodology for optimizing sample point selection for using in the framework of model order reduction (MOR). The procedure, based on the maximiza...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
FOCS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we resolve the smoothed and approximative complexity of low-rank quasi-concave minimization, providing both upper and lower bounds. As an upper bound, we provide th...
ICRA
2000
IEEE
13 years 9 months ago
2000
IEEE
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...