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SMI
2005
IEEE
16 years 1 days ago
Stochastic Microgeometry for Displacement Mapping
Creating surfaces with intricate small-scale features (microgeometry) and detail is an important task in geometric modeling and computer graphics. We present a model processing me...
Craig A. Schroeder, David E. Breen, Christopher D....
EMMCVPR
1997
Springer
15 years 10 months ago
Deterministic Annealing for Unsupervised Texture Segmentation
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
JMLR
2010
195views more  JMLR 2010»
15 years 4 months ago
Online Learning for Matrix Factorization and 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 statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
MICCAI
2009
Springer
16 years 7 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
ICASSP
2011
IEEE
14 years 10 months ago
Quadratic optimization based small scale details extraction
In many image processing problems, it is required to extract small scale details from an image or a set of images. In this paper, we introduce a new framework for extracting small...
Zhengguo Li, Jinghong Zheng, Chuohao Yeo, Susanto ...