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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 14 days ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
HUMO
2007
Springer
14 years 1 months ago
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
IWDW
2009
Springer
14 years 2 months ago
Estimating the Information Theoretic Optimal Stego Noise
We recently developed a new benchmark for steganography, underpinned by the square root law of capacity, called Steganographic Fisher Information (SFI). It is related to the multip...
Andrew D. Ker
CVPR
2007
IEEE
14 years 9 months ago
Constrained Optimization for Retinal Curvature Estimation Using an Affine Camera
We study retinal curvature estimation from multiple images that provides the fundamental geometry of human retina. We use an affine camera model due to its simplicity, linearity, ...
Thitiporn Chanwimaluang, Guoliang Fan
NIPS
2008
13 years 9 months ago
Support Vector Machines with a Reject Option
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...