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» Combining Estimators Using Non-Constant Weighting Functions
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ICPR
2010
IEEE
15 years 2 months ago
Pattern Recognition Using Functions of Multiple Instances
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
Alina Zare, Paul Gader
ICIP
2004
IEEE
16 years 1 months ago
Minimizing a weighted error criterion for spatial error concealment of missing image data
In this contribution we present an algorithm for spatial error concealment of lost image data caused by transmission of images in error prone environments. The surrounding correct...
André Kaup, Katrin Meisinger
ICCV
2003
IEEE
15 years 5 months ago
Computing MAP trajectories by representing, propagating and combining PDFs over groups
This paper addresses the problem of computing the trajectory of a camera from sparse positional measurements that have been obtained from visual localisation, and dense differenti...
Paul Smith, Tom Drummond, Kimon Roussopoulos
ICASSP
2011
IEEE
14 years 3 months ago
Joint blind estimation of carrier phase and frequency offset for QAM signals using circular harmonic decomposition
An algorithm is presented for joint blind estimation of carrier phase and frequency offset for signals with quadrature amplitude modulation (QAM). The algorithm is based on a circ...
Alexander B. Sergienko, Alexander V. Petrov
CVPR
2009
IEEE
16 years 6 months ago
Nonrigid Registration Combining Global and Local Statistics
In this paper we exploit normalized mutual information for the nonrigid registration of multimodal images. Rather than assuming that image statistics are spatially stationary, a...
Zhao Yi (UCLA), Stefano Soatto (UCLA)