893 search results - page 22 / 179 » Common-Frame Model for Object Recognition |
WACV
2005
IEEE
14 years 2 months ago
2005
IEEE
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
INTERSPEECH
2010
13 years 3 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
SIP
2003
13 years 10 months ago
2003
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...