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CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
14 years 24 days ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
ICIP
2010
IEEE
13 years 6 months ago
Image partitioning with kernel mapping and graph cuts
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
CVPR
2007
IEEE
14 years 3 months ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance
IVC
2010
128views more  IVC 2010»
13 years 7 months 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
ECCV
2008
Springer
14 years 10 months ago
Kernel Codebooks for Scene Categorization
This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook approach describes an image as a bag of discrete visual...
Jan van Gemert, Jan-Mark Geusebroek, Cor J. Veenma...