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» Modelling Smooth Paths Using Gaussian Processes
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120
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ICASSP
2011
IEEE
14 years 1 months ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
NIPS
2008
14 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
82
Voted
ICIP
2009
IEEE
15 years 10 months ago
Color Constancy Using Denoising Methods And Cepstral Analysis
We address here the problem of color constancy and propose two new methods for achieving color constancythe first method uses denoising techniques such as a Gaussian filter, Media...
ICTAI
2007
IEEE
15 years 3 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...
88
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ICASSP
2010
IEEE
14 years 7 months ago
GHT based implementation of the expectation maximization for mixtures of multi-Gaussians and its applications to video tracking
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...
Francesco Monti, Carlo S. Regazzoni