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» Controlling Model Complexity in Flow Estimation
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ICASSP
2010
IEEE
13 years 8 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
CVPR
1999
IEEE
14 years 10 months ago
Calibration of an Outdoor Active Camera System
A parametric camera model and calibration procedures are developed for an outdoor active camera system with pan, tilt and zoom control. Unlike traditional methods, active camera m...
Robert T. Collins, Yanghai Tsin
MIDDLEWARE
2001
Springer
14 years 26 days ago
Thread Transparency in Information Flow Middleware
Abstract. Existing middleware is based on control-flow centric interaction models such as remote method invocations, poorly matching the structure of applications that process con...
Rainer Koster, Andrew P. Black, Jie Huang, Jonatha...
DATE
2010
IEEE
182views Hardware» more  DATE 2010»
14 years 1 months ago
DAGS: Distribution agnostic sequential Monte Carlo scheme for task execution time estimation
This paper addresses the problem of stochastic task execution time estimation agnostic to the process distributions. The proposed method is orthogonal to the application structure ...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel
SERP
2008
13 years 9 months ago
Mapping Data-Flow Dependencies onto Distributed Embedded Systems
Model-driven development (MDD) is an emerging paradigm and has become state-of-the-art for embedded systems software design. In the overall design process, several steps have to be...
Stefan Kugele, Wolfgang Haberl