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MICRO
2006
IEEE
111views Hardware» more  MICRO 2006»
14 years 2 months ago
Memory Prefetching Using Adaptive Stream Detection
We present Adaptive Stream Detection, a simple technique for modulating the aggressiveness of a stream prefetcher to match a workload’s observed spatial locality. We use this co...
Ibrahim Hur, Calvin Lin
CVPR
1998
IEEE
14 years 10 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
IWOMP
2009
Springer
14 years 3 months ago
Evaluating OpenMP 3.0 Run Time Systems on Unbalanced Task Graphs
The UTS benchmark is used to evaluate task parallelism in OpenMP 3.0 as implemented in a number of recently released compilers and run-time systems. UTS performs parallel search of...
Stephen Olivier, Jan Prins
ICNC
2005
Springer
14 years 2 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...