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» Mixture model based contextual image retrieval
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SPIESR
1996
122views Database» more  SPIESR 1996»
15 years 17 days ago
Retrieval by Content in Symbolic-Image Databases
Two approaches for integrating images into the framework of a database management system are presented. The classi cation approach preprocesses all images and attaches a semantic ...
Aya Soffer, Hanan Samet
TIP
2010
167views more  TIP 2010»
14 years 6 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...
ICIP
2007
IEEE
16 years 29 days ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
SIGIR
2006
ACM
15 years 5 months ago
Contextual search and name disambiguation in email using graphs
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Einat Minkov, William W. Cohen, Andrew Y. Ng
NIPS
2004
15 years 19 days ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee