165 search results - page 22 / 33 » Algorithms for Sparse Linear Classifiers in the Massive Data... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
SEMWEB
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we consider the problem of materializing the complete finite RDFS closure in a scalable manner; this includes those parts of the RDFS closure that are often ignored...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
BMCBI
2006
13 years 7 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...