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» Estimating Missing Data in Data Streams
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AMDO
2008
Springer
13 years 11 months ago
Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation
This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d m...
Andreas Aristidou, Jonathan Cameron, Joan Lasenby
BTW
2005
Springer
104views Database» more  BTW 2005»
14 years 3 months ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
LREC
2010
137views Education» more  LREC 2010»
13 years 11 months ago
Handling of Missing Values in Lexical Acquisition
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Núria Bel
ICS
2003
Tsinghua U.
14 years 3 months ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua
IM
2006
13 years 9 months ago
Estimating Entropy and Entropy Norm on Data Streams
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
Amit Chakrabarti, Khanh Do Ba, S. Muthukrishnan