75 search results - page 7 / 15 » Online Learning for Matrix Factorization and Sparse Coding |
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
BMCBI
2010
13 years 7 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
LCPC
1998
Springer
13 years 11 months ago
1998
Springer
There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...