1427 search results - page 35 / 286 » Markov Random Field Modeling in Computer Vision |
ICIP
2006
IEEE
14 years 3 months ago
2006
IEEE
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
SIGIR
2005
ACM
14 years 2 months ago
2005
ACM
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
Abstract-- This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based appr...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
CAIP
2001
Springer
14 years 1 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...