3628 search results - page 645 / 726 » Approaching the Physical Limits of Computing |
SIGMOD
2012
ACM
12 years 12 days ago
2012
ACM
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
JMLR
2012
12 years 12 days ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...