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» Unsupervised Learning Using MML
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CVPR
2009
IEEE
14 years 3 hour ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
AAAI
2008
13 years 11 months ago
An Unsupervised Approach for Product Record Normalization across Different Web Sites
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Tak-Lam Wong, Tik-Shun Wong, Wai Lam
CVPR
2010
IEEE
13 years 10 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
TASLP
2008
98views more  TASLP 2008»
13 years 8 months ago
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling
Source separation of musical signals is an appealing but difficult problem, especially in the single-channel case. In this paper, an unsupervised single-channel music source separa...
Zhiyao Duan, Yungang Zhang, Changshui Zhang, Zhenw...
CVPR
2005
IEEE
14 years 10 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...