1380 search results - page 161 / 276 » Learning Hierarchical Shape Models from Examples |
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
121
Voted
ICANN
2003
Springer
15 years 7 months ago
2003
Springer
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
115
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
129
Voted
JSAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
139
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...