189 search results - page 2 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
CVPR
2008
IEEE
14 years 6 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...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
BMCV
2000
Springer
13 years 9 months ago
2000
Springer
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
BVAI
2005
Springer
13 years 10 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...