624 search results - page 26 / 125 » The Tradeoffs of Large Scale Learning |
BMVC
2010
13 years 5 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
SIGMETRICS
2011
ACM
12 years 10 months ago
2011
ACM
Threshold-based performance monitoring in large 3G networks is very challenging for two main factors: large network scale and dynamics in both time and spatial domains. There exis...
SC
2009
ACM
14 years 2 months ago
2009
ACM
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...