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AVSS
2006
IEEE
15 years 11 months ago
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Ga...
Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguc...
151
Voted
GLOBECOM
2006
IEEE
15 years 11 months ago
Optimality of FDMA in Gaussian Multiple-Access Channels with Non-zero SNR Margin and Gap
— This paper investigates the effect of non-zero SNR margin and coding gap on the maximum sum rate and achievable rate region of the Gaussian Multiple-Access Channel (MAC). Frequ...
Sumanth Jagannathan, John M. Cioffi
166
Voted
PCI
2005
Springer
15 years 10 months ago
Gossip-Based Greedy Gaussian Mixture Learning
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
Nikos A. Vlassis, Yiannis Sfakianakis, Wojtek Kowa...
177
Voted
DSMML
2004
Springer
15 years 10 months ago
Understanding Gaussian Process Regression Using the Equivalent Kernel
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
Peter Sollich, Christopher K. I. Williams
144
Voted
ICIP
2003
IEEE
15 years 10 months ago
A piecewise Gaussian model for profiling and differentiating retinal vessels
Accurate measurement and identification of blood vessels could provide useful information to clinical diagnosis. A piecewise Gaussian model is proposed to describe the intensity d...
Huiqi Li, Wynne Hsu, Mong-Li Lee, Hongyu Wang