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» Modelling Smooth Paths Using Gaussian Processes
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ICIP
2003
IEEE
15 years 7 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
CVPR
2006
IEEE
16 years 3 months ago
The Bottleneck Geodesic: Computing Pixel Affinity
A meaningful affinity measure between pixels is essential for many computer vision and image processing applications. We propose an algorithm that works in the features' hist...
Ido Omer, Michael Werman
138
Voted
CVPR
2010
IEEE
15 years 2 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ECAL
2003
Springer
15 years 7 months ago
First Steps in Evolving Path Integration in Simulation
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey...
Robert Vickerstaff
ICIP
2007
IEEE
16 years 3 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...