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WSC
2004
13 years 11 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 2 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
VTS
2011
IEEE
278views Hardware» more  VTS 2011»
13 years 1 months ago
Designing a fast and adaptive error correction scheme for increasing the lifetime of phase change memories
This paper proposes an adaptive multi-bit error correcting code for phase change memories that provides a manifold increase in the lifetime of phase change memories thereby making...
Rudrajit Datta, Nur A. Touba
WWW
2001
ACM
14 years 10 months ago
Map adaptation for users of mobile systems
Display characteristics, network Quality of Service, and the user's current task all exhibit a wide range of variation when users interact with mobile and ubiquitous devices....
Dan Chalmers, Morris Sloman, Naranker Dulay
PODS
2008
ACM
128views Database» more  PODS 2008»
14 years 10 months ago
Shape sensitive geometric monitoring
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
Izchak Sharfman, Assaf Schuster, Daniel Keren