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» Algorithms for Large, Sparse Network Alignment Problems
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ICANN
2005
Springer
14 years 1 months ago
Multiresponse Sparse Regression with Application to Multidimensional Scaling
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
Timo Similä, Jarkko Tikka
WWW
2005
ACM
14 years 8 months ago
Web data extraction based on partial tree alignment
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
Yanhong Zhai, Bing Liu
LSSC
2001
Springer
14 years 5 days ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 7 months ago
Path Loss Exponent Estimation in Large Wireless Networks
In wireless channels, the path loss exponent (PLE) has a strong impact on the quality of the links, and hence, it needs to be accurately estimated for the efficient design and oper...
Sunil Srinivasa, Martin Haenggi
MM
2009
ACM
198views Multimedia» more  MM 2009»
14 years 12 days ago
Scalable detection of partial near-duplicate videos by visual-temporal consistency
Following the exponential growth of social media, there now exist huge repositories of videos online. Among the huge volumes of videos, there exist large numbers of near-duplicate...
Hung-Khoon Tan, Chong-Wah Ngo, Richang Hong, Tat-S...