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CVPR
2010
IEEE
1171views Computer Vision» more  CVPR 2010»
14 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 Attias, Srikantan N...
IDEAL
2004
Springer
14 years 3 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
CVPR
2010
IEEE
13 years 10 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...
ENTCS
2007
116views more  ENTCS 2007»
13 years 10 months ago
Handling Model Changes: Regression Testing and Test-Suite Update with Model-Checkers
Several model-checker based methods to automated test-case generation have been proposed recently. The performance and applicability largely depends on the complexity of the model...
Gordon Fraser, Bernhard K. Aichernig, Franz Wotawa
PAMI
2010
337views more  PAMI 2010»
13 years 8 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon