1871 search results - page 271 / 375 » Learning 3-D object orientation from images |
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
ICCV
2009
IEEE
16 years 21 days ago
2009
IEEE
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
AAAI
2008
15 years 7 days ago
2008
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...