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» Modeling annotated data
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CVPR
2007
IEEE
14 years 9 months ago
Detector adaptation by maximising agreement between independent data sources
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
Alan F. Smeaton, Ciarán O. Conaire, Noel E....
CVPR
2009
IEEE
15 years 2 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
ICCV
2011
IEEE
12 years 7 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
LREC
2010
189views Education» more  LREC 2010»
13 years 9 months ago
The Brandeis Annotation Tool
The Brandeis Annotation Tool is a web-based text annotation tool that is centered around the notions of layered annotation and task decomposition. It allows annotations to refer t...
Marc Verhagen
DBPL
2007
Springer
91views Database» more  DBPL 2007»
14 years 1 months ago
Relational Completeness of Query Languages for Annotated Databases
Annotated relational databases can be queried either by simply making the annotations explicitly available along the ordinary data, or by adapting the standard query operators so ...
Floris Geerts, Jan Van den Bussche