Optimally combining sampling techniques for Monte Carlo rendering
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A combined adaptive-mixtures/plug-in estimator multivariate probability densities
Computational Statistics & Data Analysis
An efficient MDL-based construction of RBF networks
Neural Networks
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Recursive Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference in sensor networks: graphical models and particle methods
Inference in sensor networks: graphical models and particle methods
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soft clustering for nonparametric probability density function estimation
Pattern Recognition Letters
Online kernel density estimation for interactive learning
Image and Vision Computing
Data compression by volume prototypes for streaming data
Pattern Recognition
A kernel-based parametric method for conditional density estimation
Pattern Recognition
Online Discriminative Kernel Density Estimation
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Probability density estimation from optimally condensed data samples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Long-Range spatio-temporal modeling of video with application to fire detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
SAR image segmentation based on gabor filter bank and active contours
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Balance between diversity and relevance for image search results
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
ReigSAC: fast discrimination of spurious keypoint correspondences on planar surfaces
Machine Vision and Applications
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We propose a novel approach to online estimation of probability density functions, which is based on kernel density estimation (KDE). The method maintains and updates a non-parametric model of the observed data, from which the KDE can be calculated. We propose an online bandwidth estimation approach and a compression/revitalization scheme which maintains the KDE's complexity low. We compare the proposed online KDE to the state-of-the-art approaches on examples of estimating stationary and non-stationary distributions, and on examples of classification. The results show that the online KDE outperforms or achieves a comparable performance to the state-of-the-art and produces models with a significantly lower complexity while allowing online adaptation.