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» A Stochastic Grammar of Images
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MICCAI
2005
Springer
15 years 12 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
ICML
2009
IEEE
15 years 12 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
EUROGP
2004
Springer
123views Optimization» more  EUROGP 2004»
15 years 4 months ago
Global Distributed Evolution of L-Systems Fractals
Internet based parallel genetic programming (GP) creates fractal patterns like Koch’s snow flake. Pfeiffer, http://www.cs.ucl.ac.uk /staff/W.Langdon/pfeiffer.html, by analogy w...
William B. Langdon
ISBI
2006
IEEE
15 years 11 months ago
Tissue characterization and detection of dysplasia using scattered light
In this paper, the structural parameters of dysplasia formation in the epithelial tissue are estimated using a stochastic decomposition algorithm (SDM) by means of scattered light...
Fernand S. Cohen, Ezgi Taslidere, Dilip S. Hari
DPHOTO
2010
287views Hardware» more  DPHOTO 2010»
15 years 15 days ago
Dead leaves model for measuring texture quality on a digital camera
We describe the procedure to evaluate the image quality of a camera in terms of texture preservation. We use a stochastic model coming from stochastic geometry, and known as the d...
Frédéric Cao, Frederic Guichard, Her...