290 search results - page 19 / 58 » Learning with Deep Cascades |
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these ...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
NECO
2008
13 years 9 months ago
2008
In this paper we show that exponentially deep belief networks [3, 7, 4] can approximate any distribution over binary vectors to arbitrary accuracy, even when the width of each lay...
NIPS
2008
13 years 11 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...