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» Gaussian Process Models of Spatial Aggregation Algorithms
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CVPR
2010
IEEE
13 years 9 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
VIP
2003
13 years 10 months ago
Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture
Real images are often corrupted by noise from various sources. Bilateral filtering is a nonlinear filter that considers intensity variations as well as spatial closeness in the no...
Qimei Hu, Xiangjian He, Jun Zhou
NIPS
2007
13 years 10 months ago
The Generalized FITC Approximation
We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
Andrew Naish-Guzman, Sean B. Holden
ICIP
2010
IEEE
13 years 6 months ago
Robust and efficient background subtraction by quadratic polynomial fitting
We present a background subtraction algorithm aimed at efciency and robustness to common sources of disturbance such as illumination changes, camera gain and exposure variations, ...
Alessandro Lanza, Federico Tombari, Luigi di Stefa...
ICPR
2010
IEEE
13 years 9 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...