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» Data streams: algorithms and applications
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188
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TKDE
2008
178views more  TKDE 2008»
15 years 7 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
162
Voted
DCC
2010
IEEE
15 years 5 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
ICCD
2002
IEEE
103views Hardware» more  ICCD 2002»
16 years 3 months ago
A Stream Processor Development Platform
We describe a hardware and software platform for developing streaming applications. Programmers write stream programs in high-level languages, and a set of software tools maps the...
Ben Serebrin, John D. Owens, Chen H. Chen, Stephen...
177
Voted
DATE
2009
IEEE
171views Hardware» more  DATE 2009»
16 years 1 months ago
Automatic generation of streaming datapaths for arbitrary fixed permutations
Abstract—This paper presents a technique to perform arbitrary fixed permutations on streaming data. We describe a parameterized architecture that takes as input n data points st...
Peter A. Milder, James C. Hoe, Markus Püschel
213
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 8 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis