2865 search results - page 46 / 573 » Learning Models for Object Recognition |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
SSPR
2010
Springer
13 years 7 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
HRI
2006
ACM
14 years 3 months ago
2006
ACM
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...