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» Estimating Missing Data in Data Streams
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ICA
2012
Springer
12 years 5 months ago
Audio Imputation Using the Non-negative Hidden Markov Model
Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
Jinyu Han, Gautham J. Mysore, Bryan Pardo
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
14 years 3 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
EDBT
2006
ACM
114views Database» more  EDBT 2006»
14 years 10 months ago
Resource Adaptive Periodicity Estimation of Streaming Data
Abstract. Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even mo...
Michail Vlachos, Deepak S. Turaga, Philip S. Yu
VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 9 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 4 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...