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ICIP
1995
IEEE
16 years 8 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey
VLDB
2003
ACM
172views Database» more  VLDB 2003»
16 years 7 months ago
Aurora: a new model and architecture for data stream management
This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substant...
Daniel J. Abadi, Donald Carney, Ugur Çetintemel, ...
ICCAD
2005
IEEE
96views Hardware» more  ICCAD 2005»
16 years 4 months ago
A more reliable reduction algorithm for behavioral model extraction
— In this paper we are concerned with developing more reliable model reduction algorithms. We have focused on less common, but real, examples that fail to be effectively reduced ...
Dmitry Vasilyev, Jacob K. White
SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ICASSP
2008
IEEE
16 years 1 months ago
NeSh: A joint shadowing model for links in a multi-hop network
Accurate analysis and simulation in multi-hop (sensor, ad hoc, and mesh) networks requires accurate representation of physical layer fading processes. Current models either ignore...
Neal Patwari, Piyush Agrawal