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TIT
2008
149views more  TIT 2008»
13 years 9 months ago
An Improved Bound on the List Error Probability and List Distance Properties
A new upper bound on the list error probability is presented. This bound is derived by combining the techniques for obtaining the tangential union bound with an improved bound on t...
Irina E. Bocharova, Rolf Johannesson, Boris D. Kud...
JMLR
2010
118views more  JMLR 2010»
13 years 4 months ago
Gaussian processes with monotonicity information
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
Jaakko Riihimäki, Aki Vehtari
PAMI
1998
116views more  PAMI 1998»
13 years 9 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
CVPR
2008
IEEE
14 years 11 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
ECCV
2004
Springer
14 years 3 months ago
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
Recent research provided several new and fast approaches for the class of parameter estimation problems that are common in computer vision. Incorporation of complex noise model (mo...
Matthias Mühlich, Rudolf Mester