280 search results - page 7 / 56 » Binary Matrix Factorization with Applications |
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
SIGIR
2009
ACM
14 years 1 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...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
FPL
2006
Springer
13 years 11 months ago
2006
Springer
FPGAs have become an attractive choice for scientific computing. In this paper, we propose a high performance design for LU decomposition, a key kernel in many scientific and engi...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...