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SAC
2005
ACM
14 years 1 months ago
SVD-based collaborative filtering with privacy
Collaborative ļ¬ltering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Huseyin Polat, Wenliang Du
IDEAL
2010
Springer
13 years 5 months ago
Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
Malik Magdon-Ismail, Jonathan T. Purnell
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 9 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we ļ¬nd patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network trafļ¬c monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 10 months ago
Harnessing the wisdom of the crowds for accurate web page clipping
Clipping Web pages, namely extracting the informative clips (areas) from Web pages, has many applications, such as Web printing and e-reading on small handheld devices. Although m...
Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Li...
ICDAR
2011
IEEE
12 years 7 months ago
Chinese Keyword Spotting Using Knowledge-Based Clustering
ā€”Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
Yong Xia, Kuanquan Wang, Mingwei Li