23 search results - page 3 / 5 » Solving Consensus and Semi-supervised Clustering Problems Us... |
ECML
2005
Springer
13 years 7 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
IPMI
2011
Springer
12 years 9 months ago
2011
Springer
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method...
CVPR
2010
IEEE
13 years 6 months ago
2010
IEEE
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
BIBE
2007
IEEE
13 years 9 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...
SIGIR
2005
ACM
13 years 11 months ago
2005
ACM
Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...