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197views
13 years 8 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...
103
Voted
ECCV
2006
Springer
16 years 2 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
16 years 2 months ago
A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
116
Voted
WWW
2007
ACM
16 years 1 months ago
A scalable application placement controller for enterprise data centers
Given a set of machines and a set of Web applications with dynamically changing demands, an online application placement controller decides how many instances to run for each appl...
Chunqiang Tang, Malgorzata Steinder, Mike Spreitze...
138
Voted
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
16 years 1 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...