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» A New Baseline for Image Annotation
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158
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ICASSP
2010
IEEE
15 years 3 months ago
Supervised topic model for automatic image annotation
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
186
Voted
MICAI
2010
Springer
15 years 1 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
126
Voted
CVPR
2008
IEEE
16 years 5 months ago
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C...
124
Voted
CVPR
2010
IEEE
1171views Computer Vision» more  CVPR 2010»
15 years 9 months ago
Topic-Regression Multi-Modal Latent Dirichlet Allocation for Image Annotation
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
Duangmanee Putthividhya, Hagai Attias, Srikantan N...
123
Voted
CVPR
2010
IEEE
15 years 3 months ago
Topic regression multi-modal Latent Dirichlet Allocation for image annotation
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...