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» Unsupervised image embedding using nonparametric statistics
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152
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ICIP
2007
IEEE
16 years 3 months 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...
105
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SIGPRO
2002
75views more  SIGPRO 2002»
15 years 1 months ago
Statistical detection of defects in radiographic images in nondestructive testing
In this paper, we investigate applicability of statistical techniques for defect detection in radiographic images of welds. The defect detection procedure consists in a statistica...
Ivan G. Kazantsev, Ignace Lemahieu, G. I. Salov, R...
139
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CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
15 years 2 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
ICIP
2003
IEEE
16 years 3 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
ICASSP
2011
IEEE
14 years 5 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...