258 search results - page 7 / 52 » Using Co-Occurrence and Segmentation to Learn Feature-Based ... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
AAAI
2012
11 years 10 months ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
ISDA
2010
IEEE
13 years 4 months ago
2010
IEEE
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...