221 search results - page 14 / 45 » Random Convolution Ensembles |
IWANN
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
NIPS
2008
13 years 11 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
CIARP
2009
Springer
14 years 4 months ago
2009
Springer
The concept of probabilistic Latent Semantic Analysis (pLSA) has gained much interest as a tool for feature transformation in image categorization and scene recognition scenarios. ...
CMSB
2006
Springer
14 years 1 months ago
2006
Springer
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feed...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...