Browsing by Subject "boosting"
Now showing items 1-3 of 3
-
Contextual models for object detection using boosted random fields
(2004-06-25)We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and ...
-
Contextual models for object detection using boosted random fields
(2004-06-25)We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ...
-
Malaria Prediction using Bayesian and other Machine Learning Techniques
(2019-09-12)Main purpose of data mining is to extract valuable information from available data. With the enormous amount of data stored in files, databases, and repositories, in the healthcare sector, it’s increasingly important, if ...
