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FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
15 years 3 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen
ICASSP
2011
IEEE
14 years 6 months ago
Reconstructing completely overlapped notes from musical mixtures
In mixtures of musical sounds, the problem of overlapped harmonics poses a significant challenge to source separation. Common Amplitude Modulation (CAM) is one of the most effect...
Jinyu Han, Bryan Pardo
CVPR
1997
IEEE
15 years 6 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
109
Voted
MICCAI
2000
Springer
15 years 5 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
IVC
2010
128views more  IVC 2010»
15 years 22 days ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis