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» Annotator Rationales for Visual Recognition
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ICCV
2011
IEEE
12 years 5 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
13 years 10 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
JVCIR
2010
147views more  JVCIR 2010»
13 years 3 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
CICLING
2008
Springer
13 years 7 months ago
Sense Annotation in the Penn Discourse Treebank
Abstract. An important aspect of discourse understanding and generation involves the recognition and processing of discourse relations. These are conveyed by discourse connectives,...
Eleni Miltsakaki, Livio Robaldo, Alan Lee, Aravind...
CLEF
2010
Springer
13 years 6 months ago
MRIM-LIG at ImageCLEF 2010 Visual Concept Detection and Annotation task
This paper focuses on one of the Image CLEF Photo tasks at which the MRIM research group of the LIG participated: the Visual Concept Detection and Annotation. For this task, we app...
Rami Albatal, Philippe Mulhem