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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
SOSP
1997
ACM
14 years 11 months ago
HAC: Hybrid Adaptive Caching for Distributed Storage Systems
This paper presents HAC, a novel technique for managing the client cache in a distributed, persistent object storage system. HAC is a hybrid between page and object caching that c...
Miguel Castro, Atul Adya, Barbara Liskov, Andrew C...
ICIP
2010
IEEE
14 years 7 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang
MICRO
2006
IEEE
111views Hardware» more  MICRO 2006»
15 years 3 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
ECCC
2007
180views more  ECCC 2007»
14 years 9 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri