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CVPR
2012
IEEE
13 years 9 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan
SIGMETRICS
2012
ACM
257views Hardware» more  SIGMETRICS 2012»
13 years 9 months ago
Fair sampling across network flow measurements
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
Nick G. Duffield
PODC
2012
ACM
13 years 9 months ago
Byzantine broadcast in point-to-point networks using local linear coding
The goal of Byzantine Broadcast (BB) is to allow a set of fault-free nodes to agree on information that a source node wants to broadcast to them, in the presence of Byzantine faul...
Guanfeng Liang, Nitin H. Vaidya
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 7 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
ISCA
2010
IEEE
336views Hardware» more  ISCA 2010»
15 years 11 months ago
Reducing cache power with low-cost, multi-bit error-correcting codes
Technology advancements have enabled the integration of large on-die embedded DRAM (eDRAM) caches. eDRAM is significantly denser than traditional SRAMs, but must be periodically r...
Chris Wilkerson, Alaa R. Alameldeen, Zeshan Chisht...