NLE
2010
13 years 2 months ago
2010
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
BIBE
2007
IEEE
13 years 8 months ago
2007
IEEE
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) have attracted much attention and have been successfully applied to numerous data analysis probl...
ICANNGA
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of t...