119 search results - page 11 / 24 » Training Conditional Random Fields Using Incomplete Annotati... |
IJCV
2006
13 years 7 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
IJCNLP
2005
Springer
14 years 1 months ago
2005
Springer
The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
WEBI
2007
Springer
14 years 1 months ago
2007
Springer
This paper addresses the issue of researcher profiling. By researcher profiling, we mean building a semantic profile for an academic researcher, by identifying and annotating info...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...