1344 search results - page 121 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
ICCS
2005
Springer
14 years 3 months ago
2005
Springer
Abstract Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require us...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
CLEF
2007
Springer
14 years 4 months ago
2007
Springer
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
IPMI
2011
Springer
13 years 1 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...