254 search results - page 32 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
VLSISP
2011
13 years 3 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
PODC
2010
ACM
13 years 10 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...