1380 search results - page 217 / 276 » Learning Hierarchical Shape Models from Examples |
KDD
2012
ACM
12 years 15 days ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
CVPR
2005
IEEE
15 years 2 days ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...
CIKM
2008
Springer
14 years 2 days ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
AIME
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
EMNLP
2011
12 years 9 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...