1427 search results - page 126 / 286 » Markov Random Field Modeling in Computer Vision |
AAAI
2008
13 years 11 months ago
2008
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Modeling consistency of style in isogenous fields of patterns (such as character patterns in a word from the same font or writer) can improve classification accuracy. Since such p...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this work, we present a novel segmentation method for deformable objects in monocular videos. Firstly we introduce the dynamic shape to represent the prior knowledge about obje...
ICASSP
2009
IEEE
13 years 7 months ago
2009
IEEE
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
DAGM
2011
Springer
12 years 9 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...