92 search results - page 2 / 19 » Feature Selection for Density Level-Sets |
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
ESANN
2007
13 years 6 months ago
2007
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
CSB
2004
IEEE
13 years 8 months ago
2004
IEEE
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...