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» Improving Random Projections Using Marginal Information
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ECCV
2008
Springer
16 years 1 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
HPCA
2002
IEEE
16 years 6 days ago
A New Memory Monitoring Scheme for Memory-Aware Scheduling and Partitioning
We propose a low overhead, on-line memory monitoring scheme utilizing a set of novel hardware counters. The counters act like pressure gauges indicating the marginal gain in the n...
G. Edward Suh, Srinivas Devadas, Larry Rudolph
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 27 days ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
CCS
2009
ACM
15 years 6 months ago
ShadowWalker: peer-to-peer anonymous communication using redundant structured topologies
Peer-to-peer approaches to anonymous communication promise to eliminate the scalability concerns and central vulnerability points of current networks such as Tor. However, the P2P...
Prateek Mittal, Nikita Borisov
ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Web image mining using concept sensitive Markov stationary features
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma