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» Modelling Smooth Paths Using Gaussian Processes
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ICIP
2002
IEEE
16 years 3 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
GEOINFORMATICA
1998
96views more  GEOINFORMATICA 1998»
15 years 1 months ago
Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...
Corinne Plazanet, Nara Martini Bigolin, Anne Ruas
DAGM
2003
Springer
15 years 7 months ago
Splines and Wavelets: New Perspectives for Pattern Recognition
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we ar...
Michael Unser
ICASSP
2011
IEEE
14 years 5 months ago
Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
Ming Li, Shrikanth Narayanan
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 3 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson