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ESANN
2004
14 years 11 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
PR
2006
89views more  PR 2006»
14 years 9 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
WCE
2007
14 years 11 months ago
On Line Surface Roughness Measurement Using Image Processing and Machine Vision
- Machine vision has evolved to become a mainstream automation tool, enabling computers to replace human vision in high speed and precision manufacturing techniques. Images usually...
M. Rajaram Narayanan, S. Gowri, M. Murali Krishna
TIP
1998
99views more  TIP 1998»
14 years 9 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
Scott T. Acton, Alan C. Bovik
CSSE
2008
IEEE
15 years 4 months ago
Image Segmentation Based on 2D Otsu Method with Histogram Analysis
—Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used be...
Jun Zhang, Jinglu Hu