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» Regular Texture Analysis as Statistical Model Selection
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CAD
2004
Springer
13 years 7 months ago
Choosing consistent constraints for beautification of reverse engineered geometric models
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software. Such models can be im...
Frank C. Langbein, A. David Marshall, Ralph R. Mar...
IDEAL
2003
Springer
14 years 27 days ago
Objectionable Image Recognition System in Compression Domain
In this paper, we propose an intelligent recognition system for objectionable image in JPEG compression domain. First, the system applies robust skin color model and skin texture a...
Qixiang Ye, Wen Gao, Wei Zeng, Tao Zhang, Weiqiang...
CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
CORR
2010
Springer
188views Education» more  CORR 2010»
13 years 7 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
SSIAI
2000
IEEE
14 years 2 days ago
Pairwise Markov Random Fields and its Application in Textured Images Segmentation
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
Wojciech Pieczynski, Abdel-Nasser Tebbache