1427 search results - page 87 / 286 » Markov Random Field Modeling in Computer Vision |
NIPS
2008
13 years 10 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...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We present algorithms for improved Viterbi decoding for the case of hidden semi-Markov models. By carefully constructing directed acyclic graphs, we pose the decoding problem as t...