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» Using Maximum Entropy for Automatic Image Annotation
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CLEF
2006
Springer
13 years 11 months ago
Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks
This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provide both the resources and the frame...
Paul Clough, Michael Grubinger, Thomas Deselaers, ...
CSIE
2009
IEEE
14 years 2 months ago
Automatic Preposition Errors Correction Using Inductive Learning
In this paper, we describe a system for correcting English preposition errors automatically. Non-native English writers often make these errors. Our system uses rules extracted au...
Hokuto Ototake, Kenji Araki
BMCBI
2010
208views more  BMCBI 2010»
13 years 8 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
ICPR
2000
IEEE
14 years 9 days ago
(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently ...
Jürgen Vogel, Wolf-Tilo Balke, Werner Kie&szl...
VMV
2001
161views Visualization» more  VMV 2001»
13 years 9 months ago
Viewpoint Selection using Viewpoint Entropy
Computation of good viewpoints is important in several fields: computational geometry, visual servoing, robot motion, graph drawing, etc. In addition, selection of good views is r...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...