963 search results - page 34 / 193 » Active Learning by Labeling Features |
129
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
152
Voted
TIP
2010
15 years 29 days ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
103
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
174
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
121
Voted
PERCOM
2004
ACM
16 years 2 months ago
2004
ACM
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...