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» Mixture model based contextual image retrieval
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IPM
2008
102views more  IPM 2008»
13 years 11 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
CLEF
2008
Springer
14 years 20 days ago
Methods for Combining Content-Based and Textual-Based Approaches in Medical Image Retrieval
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
14 years 2 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
ICPR
2010
IEEE
13 years 8 months ago
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling
We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
CVPR
2009
IEEE
15 years 6 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...