Sciweavers

2019 search results - page 244 / 404
» Automatic data mapping of signal processing applications
Sort
View
ICASSP
2011
IEEE
14 years 8 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
CONCURRENCY
2008
142views more  CONCURRENCY 2008»
15 years 4 months ago
Provenance trails in the Wings/Pegasus system
Our research focuses on creating and executing large-scale scientific workflows that often involve thousands of computations over distributed, shared resources. We describe an app...
Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta...
IPPS
2007
IEEE
15 years 11 months ago
Pipelining Tradeoffs of Massively Parallel SuperCISC Hardware Functions
Parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, ano...
Colin J. Ihrig, Justin Stander, Alex K. Jones
BMCBI
2004
158views more  BMCBI 2004»
15 years 4 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 10 months ago
Stability Preserving Sensor-Based Control for Robots with Positional Interface
— When industrial robot arms are controlled using sensor data the performance is dependent on the sensor sampling rate, on delays in signal processing, and on the robot dynamics....
Friedrich Lange, Gerd Hirzinger