1380 search results - page 67 / 276 » Learning Hierarchical Shape Models from Examples |
PRL
2002
13 years 7 months ago
2002
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
NECO
2010
13 years 6 months ago
2010
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
BMCBI
2007
13 years 8 months ago
2007
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...