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» Change detection based on adaptive Markov Random Fields
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ICIP
2007
IEEE
14 years 11 days ago
Fast Blotch Detection Algorithm for Degraded Film Sequences Based on MRF Models
This paper proposes a fast blotch detection algorithm based on a Markov Random Field (MRF) model with less computational load and with lower false alarm rate than the existing MRF...
Sang-Churl Nam, Masahide Abe, Masayuki Kawamata
EMMCVPR
2007
Springer
14 years 7 days ago
Bayesian Inference for Layer Representation with Mixed Markov Random Field
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang
ICASSP
2007
IEEE
14 years 12 days ago
Context-Based Concept Fusion with Boosted Conditional Random Fields
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
DAGM
2007
Springer
14 years 7 days ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
DAGM
2008
Springer
13 years 7 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner