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» Approximation schemes for clustering problems
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AUTOMATICA
2011
13 years 5 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
ISLPED
2005
ACM
93views Hardware» more  ISLPED 2005»
14 years 3 months ago
Power-aware code scheduling for clusters of active disks
In this paper, we take the idea of application-level processing on disks to one level further, and focus on an architecture, called Cluster of Active Disks (CAD), where the storag...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir
FPL
2010
Springer
188views Hardware» more  FPL 2010»
13 years 8 months ago
SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...
DATE
2009
IEEE
171views Hardware» more  DATE 2009»
14 years 1 months ago
Physically clustered forward body biasing for variability compensation in nanometer CMOS design
Nanometer CMOS scaling has resulted in greatly increased circuit variability, with extremely adverse consequences on design predictability and yield. A number of recent works have...
Ashoka Visweswara Sathanur, Antonio Pullini, Luca ...
CVPR
2008
IEEE
15 years 2 days ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley