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MICCAI
2009
Springer
15 years 7 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
LRE
2006
173views more  LRE 2006»
14 years 9 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
ICASSP
2011
IEEE
14 years 1 months ago
No-reference bit stream model for video quality assessment of h.264/AVC video based on packet loss visibility
In this paper, a no reference bit stream model for quality assessment of SD and HD H.264/AVC video sequences based on packet loss visibility is proposed. The method considers the ...
Savvas Argyropoulos, Alexander Raake, Marie-Neige ...
AAAI
2011
13 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
PPDP
2004
Springer
15 years 3 months ago
Model checking object petri nets in prolog
Object Petri nets (OPNs) provide a natural and modular method for modelling many real-world systems. We give a structure-preserving translation of OPNs to Prolog by encoding the O...
Berndt Farwer, Michael Leuschel