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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 5 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
108
Voted
ICCV
2007
IEEE
16 years 2 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
76
Voted
HUC
2007
Springer
15 years 6 months ago
A Statistical Reasoning System for Medication Prompting
We describe our experience building and using a reasoning system for providing context-based prompts to elders to take their medication. We describe the process of specification, ...
Sengul Vurgun, Matthai Philipose, Misha Pavel
LREC
2008
114views Education» more  LREC 2008»
15 years 1 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay
NIPS
2000
15 years 1 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...