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» Evaluating algorithms that learn from data streams
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2011
14 years 10 months ago
Exploiting Half-Wits: Smarter Storage for Low-Power Devices
This work analyzes the stochastic behavior of writing to embedded flash memory at voltages lower than recommended by a microcontroller’s specifications to reduce energy consum...
Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao J...
CVPR
2012
IEEE
13 years 9 months ago
Seeded watershed cut uncertainty estimators for guided interactive segmentation
Watershed cuts are among the fastest segmentation algorithms and therefore well suited for interactive segmentation of very large 3D data sets. To minimize the number of user inte...
Christoph N. Straehle, Ullrich Köthe, Graham ...
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 9 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
TKDE
2008
117views more  TKDE 2008»
15 years 7 months ago
Competitor Mining with the Web
This paper is concerned with the problem of mining competitors from the Web automatically. Nowadays, the fierce competition in the market necessitates every company to know not onl...
Shenghua Bao, Rui Li, Yong Yu, Yunbo Cao
WWW
2007
ACM
16 years 8 months ago
Is high-quality vod feasible using P2P swarming?
Peer-to-peer technologies are increasingly becoming the medium of choice for delivering media content, both professional and homegrown, to large user populations. Indeed, current ...
Siddhartha Annapureddy, Saikat Guha, Christos Gkan...