1018 search results - page 150 / 204 » Learning Probabilistic Models of Contours |
ECML
2006
Springer
14 years 12 months ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
ROMAN
2007
IEEE
15 years 4 months ago
2007
IEEE
Robot Programming by Demonstration (RbD) covers methods by which a robot learns new skills through human guidance. In this work, we take the perspective that the role of the tea...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...