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IH
1999
Springer
15 years 4 months ago
A Stochastic Approach to Content Adaptive Digital Image Watermarking
This paper presents a new stochastic approach which can be applied with di erent watermark techniques. The approach is based on the computation of a Noise Visibility Function NVF...
Sviatoslav Voloshynovskiy, Alexander Herrigel, Naz...
TIP
2008
175views more  TIP 2008»
14 years 11 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
CVPR
2009
IEEE
16 years 6 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
PAMI
2007
196views more  PAMI 2007»
14 years 11 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
AFRIGRAPH
2006
ACM
15 years 5 months ago
Volumetric high dynamic range windowing for better data representation
Volume data is usually generated by measuring devices (eg. CT scanners, MRI scanners), mathematical functions (eg., Marschner/Lobb function), or by simulations. While all these so...
Dirk Bartz, Benjamin Schnaidt, Jirko Cernik, Ludwi...