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AVSS
2006
IEEE
15 years 6 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...
ECCV
2004
Springer
16 years 1 months ago
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
Étienne Mémin, Elise Arnaud
ICML
2004
IEEE
15 years 5 months ago
Learning to learn with the informative vector machine
This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
Neil D. Lawrence, John C. Platt
MASCOTS
2000
15 years 1 months ago
The synTraff Suite of Traffic Modeling Toolkits
This paper describes three visually interactive tools for the analysis, modeling, and generation of long-range dependent (LRD) network traffic. The synTraff toolkit uses a three-s...
Ram Balakrishnan, Carey L. Williamson
NECO
2010
97views more  NECO 2010»
14 years 10 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell