4 search results - page 1 / 1 » Conditional Infomax Learning: An Integrated Framework for Fe... |
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Publication
For quantitative analysis of histopathological images,
such as the lymphoma grading systems, quantification of
features is usually carried out on single cells before categorizing...
ICMI
2010
Springer
13 years 2 months ago
2010
Springer
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...