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NECO
1998
121views more  NECO 1998»
13 years 10 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
TIT
2011
140views more  TIT 2011»
13 years 5 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
ICIP
1995
IEEE
14 years 12 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»
14 years 4 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»
14 years 4 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