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SGAI
2005
Springer
16 years 23 days ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
ICCS
2003
Springer
16 years 15 days ago
Generalization of the Fast Consistency Algorithm to a Grid with Multiple High Demand Zones
Abstract. One of the main challenges of grid systems of large scale and data intensive is that of providing high availability and performance, in spite of the unreliability and del...
Jesús Acosta-Elías, Leandro Navarro-...
CPE
1997
Springer
66views Hardware» more  CPE 1997»
15 years 11 months ago
Performance Prediction: An Industry Perspective
Predicting the performance of a system before it is built is a highly desirable goal, but one that is rarely achieved. This paper examines performance problems and issues within in...
Peter Hutton, Brian Hill
HOTOS
2003
IEEE
16 years 17 days ago
Why Events Are a Bad Idea (for High-Concurrency Servers)
Event-based programming has been highly touted in recent years as the best way to write highly concurrent applications. Having worked on several of these systems, we now believe t...
J. Robert von Behren, Jeremy Condit, Eric A. Brewe...
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
17 years 8 days ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...