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» Modelling perception using image processing algorithms
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ICASSP
2010
IEEE
15 years 3 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
EMMCVPR
1999
Springer
15 years 7 months ago
Auxiliary Variables for Markov Random Fields with Higher Order Interactions
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Robin D. Morris
MIR
2003
ACM
146views Multimedia» more  MIR 2003»
15 years 8 months ago
Distance measures for MPEG-7-based retrieval
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
Horst Eidenberger
IS
2007
15 years 3 months ago
Efficient processing of XPath queries using indexes
: A number of indexing techniques have been proposed in recent times for optimizing the queries on XML and other semistructured data models. Most of the semistructured models use t...
Sanjay Kumar Madria, Yan Chen, Kalpdrum Passi, Sou...
WACV
2005
IEEE
15 years 8 months ago
3D Recognition and Segmentation of Objects in Cluttered Scenes
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens