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132
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NECO
1998
121views more  NECO 1998»
15 years 3 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
114
Voted
TIT
2011
140views more  TIT 2011»
14 years 10 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra
112
Voted
ICIP
1995
IEEE
16 years 4 months ago
Vector restoration for video coding
We present a novel concept, vector restoration, for motion compensated predictive coding of video. Conventional predictive coders generate predictions of the input signal and enco...
J. S. McVeigh, S.-W. Wu, Mel W. Siegel, Angel G. J...
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
15 years 9 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
ICMCS
2005
IEEE
96views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Quad-Tree Motion Estimation in the Frequency Domain
We propose a quad-tree scheme for obtaining sub-pixel estimates of interframe motion in the frequency domain. Our scheme is based on phase correlation and uses motion compensated ...
Vasileios Argyriou, Theodore Vlachos