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» Missing Data Estimation Using Polynomial Kernels
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TCOM
2010
110views more  TCOM 2010»
14 years 10 months ago
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
—This paper deals with the case of a high speed mobile receiver operating in an orthogonal-frequency-divisionmultiplexing (OFDM) communication system. Assuming the knowledge of d...
Hussein Hijazi, Laurent Ros
VISAPP
2008
15 years 1 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
100
Voted
CVPR
2005
IEEE
16 years 2 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
113
Voted
ECCV
2002
Springer
16 years 2 months ago
Region Matching with Missing Parts
We present a variational approach to the problem of registering planar shapes despite missing parts. Registration is achieved through the evolution of a partial differential equat...
Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitte...
JCB
2006
140views more  JCB 2006»
15 years 13 days ago
HAPLOFREQ-Estimating Haplotype Frequencies Efficiently
A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this d...
Eran Halperin, Elad Hazan