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» Approximation Algorithms for Biclustering Problems
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152
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BMVC
2002
15 years 6 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
VCIP
2003
15 years 5 months ago
Three-dimensional mesh simplification using normal variation error metric and modified subdivided edge classification
In order to transmit or store three-dimensional (3-D) mesh models efficiently, we need to simplify them. Although the quadric error metric (QEM) provides fast and accurate geometr...
Eun-Young Chang, Chung-Hyun Ahn, Yo-Sung Ho
121
Voted
CSDA
2006
84views more  CSDA 2006»
15 years 3 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
147
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ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
15 years 1 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
134
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ICMLA
2009
15 years 1 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara