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» Anonymizing Temporal Data
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134
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
CIIT
2004
117views Communications» more  CIIT 2004»
15 years 5 months ago
Quality assessment for H.264 coded low-rate and low-resolution video sequences
This article concentrates on a quality assessment for H.264 coded low-rate and low-resolution video sequences which are in particular of interest for mobile communication. The cho...
Olivia Nemethova, Michal Ries, Markus Rupp, Eduard...
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 6 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
129
Voted
ISPASS
2005
IEEE
15 years 9 months ago
Reaping the Benefit of Temporal Silence to Improve Communication Performance
Communication misses--those serviced by dirty data in remote caches--are a pressing performance limiter in shared-memory multiprocessors. Recent research has indicated that tempor...
Kevin M. Lepak, Mikko H. Lipasti
136
Voted
DBA
2004
140views Database» more  DBA 2004»
15 years 5 months ago
A Tool for Transforming Conceptual Schemas of Spatio-Temporal Databases with Multiple Representation
Nowadays, classical conceptual models (such as ER or UML) are used for designing database applications. These classical conceptual models usually come with associated CASE tools a...
Mohammed Minout, Christine Parent, Esteban Zim&aac...