61 search results - page 3 / 13 » Parallel Hyperspectral Image Processing on Commodity Graphic... |
VLSID
2009
IEEE
14 years 5 months ago
2009
IEEE
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...
ICDE
2006
IEEE
14 years 6 months ago
2006
IEEE
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
SBCCI
2003
ACM
13 years 10 months ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...