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» A Knowledge-Based Approach to Visual Information
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BMCBI
2008
153views more  BMCBI 2008»
15 years 4 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
15 years 2 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
15 years 10 months ago
Moving obstacle detection in highly dynamic scenes
Abstract— We address the problem of vision-based multiperson tracking in busy pedestrian zones using a stereo rig mounted on a mobile platform. Specifically, we are interested i...
Andreas Ess, Bastian Leibe, Konrad Schindler, Luc ...
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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 10 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
WWW
2007
ACM
16 years 4 months ago
Image annotation by hierarchical mapping of features
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
Qiankun Zhao, Prasenjit Mitra, C. Lee Giles