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114
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IEEEIAS
2009
IEEE
15 years 10 months ago
Detecting Insider Attacks Using Non-negative Matrix Factorization
—It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicate...
Jan Platos, Václav Snásel, Pavel Kr&...
142
Voted
IJCV
2007
146views more  IJCV 2007»
15 years 3 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
141
Voted
AAAI
2010
15 years 5 months ago
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
Georgios Theocharous, Sridhar Mahadevan
131
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RECSYS
2010
ACM
15 years 1 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
MP
2007
75views more  MP 2007»
15 years 3 months ago
Solving maximum-entropy sampling problems using factored masks
We present a practical approach to Anstreicher and Lee’s masked spectral bound for maximum-entropy sampling, and we describe favorable results that we have obtained with a Branch...
Samuel Burer, Jon Lee