Using Maximum Entropy for Automatic Image Annotation
- 1 January 2004
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Rapid object detection using a boosted cascade of simple featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Object class recognition by unsupervised scale-invariant learningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Modeling annotated dataPublished by Association for Computing Machinery (ACM) ,2003
- Automatic image annotation and retrieval using cross-media relevance modelsPublished by Association for Computing Machinery (ACM) ,2003
- A statistical method for 3D object detection applied to faces and carsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Cross-lingual relevance modelsPublished by Association for Computing Machinery (ACM) ,2002
- Learning a Sparse Representation for Object DetectionPublished by Springer Nature ,2002
- Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image VocabularyPublished by Springer Nature ,2002
- Normalized cuts and image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- 10.1162/153244303322533214Applied Physics Letters, 2000