22 search results - page 2 / 5 » A Sparse Kernel Density Estimation Algorithm Using Forward C... |
TEC
2010
12 years 11 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
CVPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
CVPR
2010
IEEE
14 years 29 days ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...