49 search results - page 2 / 10 » Supervised Learning of Image Restoration with Convolutional ... |
ICML
2009
IEEE
14 years 5 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...
NIPS
2008
13 years 6 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
NIPS
2008
13 years 6 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
ICTAI
2009
IEEE
13 years 11 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover a...