130 search results - page 6 / 26 » Virtual Training for Multi-View Object Class Recognition |
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
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...
PRL
2011
13 years 2 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...