189 search results - page 6 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
ECAI
2008
Springer
13 years 8 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
NAACL
2003
13 years 8 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
PAMI
2012
11 years 9 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...