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» Approximate algorithms for neural-Bayesian approaches
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TIP
1998
99views more  TIP 1998»
13 years 5 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 (PIM...
Scott T. Acton, Alan C. Bovik
BMVC
2010
13 years 4 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 4 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
13 years 4 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
CGF
2007
168views more  CGF 2007»
13 years 5 months ago
Global Illumination using Photon Ray Splatting
We present a novel framework for efficiently computing the indirect illumination in diffuse and moderately glossy scenes using density estimation techniques. Many existing global...
Robert Herzog, Vlastimil Havran, Shin-ichi Kinuwak...