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» Mixture model based contextual image retrieval
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ICIP
2004
IEEE
16 years 23 days ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
PAMI
2006
178views more  PAMI 2006»
14 years 11 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
NIPS
2003
15 years 16 days ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
WACV
2002
IEEE
15 years 4 months ago
Retrieving Faces by the PIFS Fractal Code
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However, the use of fractals for indexing images in con...
Sharat Chandran, Soumitra Kar
AIRS
2008
Springer
15 years 5 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...