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ICML
2004
IEEE
16 years 7 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
MICCAI
2009
Springer
16 years 3 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...
ERCIMDL
2009
Springer
117views Education» more  ERCIMDL 2009»
16 years 1 months ago
A Visualization Tool of Probabilistic Models for Information Access Components
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...
Lorenzo De Stefani, Giorgio Maria Di Nunzio, Giorg...
ICSE
2007
IEEE-ACM
16 years 17 days ago
Adaptive Probabilistic Model for Ranking Code-Based Static Analysis Alerts
Software engineers tend to repeat mistakes when developing software. Automated static analysis tools can detect some of these mistakes early in the software process. However, thes...
Sarah Smith Heckman
COORDINATION
2004
Springer
15 years 11 months ago
Probabilistic and Prioritized Data Retrieval in the Linda Coordination Model
Linda tuple spaces are flat and unstructured, in the sense that they do not allow for expressing preferences of tuples; for example, we could be interested in indicating tuples th...
Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, ...