<--- Back to Details
First PageDocument Content
Texture synthesis / Image processing / Computational statistics / Monte Carlo methods / Bootstrapping / Resampling / Image scaling / Texture mapping / Markov random field / Statistics / Statistical inference / 3D computer graphics
Date: 2007-07-25 07:17:33
Texture synthesis
Image processing
Computational statistics
Monte Carlo methods
Bootstrapping
Resampling
Image scaling
Texture mapping
Markov random field
Statistics
Statistical inference
3D computer graphics

Texture synthesis and nonparametric resampling of random fields

Add to Reading List

Source URL: www.stat.berkeley.edu

Download Document from Source Website

File Size: 798,16 KB

Share Document on Facebook

Similar Documents

A Fast Variational Approach for Learning Markov Random Field Language Models Yacine Jernite CIMS, New York University, 251 Mercer Street, New York, NY 10012, USA Alexander M. Rush

DocID: 1uMFR - View Document

Gibbs Sampling for the Probit Regression Model with Gaussian Markov Random Field Latent Variables Mohammad Emtiyaz Khan Department of Computer Science University of British Columbia

DocID: 1uaIQ - View Document

A NON-UNIFORMLY SAMPLED MARKOV RANDOM FIELD MODEL FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES * Alan H. Gardinert and Brian D. Jeffst t Lockheed Martin Federal Systems $ Department of Electrical and Computer En

DocID: 1tgfs - View Document

Shape Parameter Estimation for Generalized Gaussian Markov Random Field Models used in MAP Image Wai Ho Pun and Brian D. Jeffs Department of Electrical and Computer Engineering, Brigham Young University 459 CB, Provo, UT

DocID: 1tewe - View Document

MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES B r i a n D. Jeffst a n d A l a n H. Gardiner$ Young University, 459 CB, Provo, U T 84602, email $ Lockheed M

DocID: 1taZU - View Document