59 search results - page 5 / 12 » A Weighted Non-Negative Matrix Factorization for Local Repre... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-nega...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
PCM
2010
Springer
13 years 6 months ago
2010
Springer
A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D sh...
ECCV
2006
Springer
14 years 9 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...