25 search results - page 3 / 5 » Sparse coding and dictionary learning based on the MDL princ... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
JMLR
2002
13 years 6 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
MICCAI
2007
Springer
14 years 29 days ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
JMLR
2010
13 years 5 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...