377 search results - page 28 / 76 » Accelerating Large Data Analysis by Exploiting Regularities |
152
click to vote
PKDD
2010
Springer
15 years 3 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
152
click to vote
CGI
2003
IEEE
15 years 11 months ago
2003
IEEE
Mesh simplification algorithms play an important role in computer graphics. In particular, view-dependent simplification methods are utilized widely to reduce the geometric comp...
141
click to vote
ICTAI
2007
IEEE
16 years 5 days ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
140
click to vote
BIBE
2007
IEEE
15 years 10 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
162
click to vote
FGCS
2006
15 years 5 months ago
2006
In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number...