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» Markov Random Field Models in Computer Vision
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ICIP
2000
IEEE
16 years 3 months ago
A Wavelet-Based Image Denoising Technique Using Spatial Priors
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
ICIP
1994
IEEE
16 years 3 months ago
A Tree Structured Bayesian Scalar Quantizer for Wavelet Based Image Compression
ABSTRACT the pyramid. Recently, a number of promising quanMultiresolution imagedecompositions (e. g., wavelets), in conjunction with a variety of quantization schemes, have been sh...
Birsen Yazici, Mary L. Comer, Rangasami L. Kashyap...
ICML
2010
IEEE
15 years 2 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
FS
2006
81views more  FS 2006»
15 years 1 months ago
Optimal portfolio choice in the bond market
We consider the Merton problem of optimal portfolio choice when the traded instruments are the set of zero-coupon bonds. Working within an infinite-factor Markovian Heath-Jarrow-Mo...
Nathanael Ringer, Michael Tehranchi
ICPR
2000
IEEE
16 years 2 months ago
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading
In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firs...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...