154 search results - page 13 / 31 » Algorithms for Batch Matrix Factorization with Application t... |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
ICANNGA
2007
Springer
14 years 2 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...