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197views
13 years 5 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
SIGMOD
2012
ACM
203views Database» more  SIGMOD 2012»
13 years 3 days ago
Optimizing index for taxonomy keyword search
Query substitution is an important problem in information retrieval. Much work focuses on how to find substitutes for any given query. In this paper, we study how to efficiently ...
Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, ...
121
Voted
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 2 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
13 years 1 days ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...
FSTTCS
1993
Springer
15 years 1 months ago
Compact Location Problems
We investigate the complexity and approximability of some location problems when two distance values are specified for each pair of potential sites. These problems involve the se...
Venkatesh Radhakrishnan, Sven Oliver Krumke, Madha...