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» Topic Models for Image Annotation and Text Illustration
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NIPS
2007
13 years 9 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
DRR
2010
13 years 10 months ago
Biomedical article retrieval using multimodal features and image annotations in region-based CBIR
Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for in...
Daekeun You, Sameer Antani, Dina Demner-Fushman, M...
ACML
2009
Springer
14 years 2 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
MM
2006
ACM
167views Multimedia» more  MM 2006»
14 years 1 months ago
Image annotation by large-scale content-based image retrieval
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...
CVPR
2009
IEEE
15 years 2 months ago
Simultaneous Image Classification and Annotation
Image classification and annotation are important problems in computer vision, but rarely considered together. Intuitively, annotations provide evidence for the class label, and...
Chong Wang, David M. Blei, Fei-Fei Li