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CVPR
2012
IEEE
13 years 6 months ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
119
Voted
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 10 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
AAAI
2010
15 years 5 months ago
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem...
NIPS
2004
15 years 5 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
149
Voted
WWW
2009
ACM
16 years 4 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...