98 search results - page 5 / 20 » A graph spectral approach to shape-from-shading |
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
In this work, we address the problem of building recognition across two camera views with large changes in scales and viewpoints. The main idea is to construct a semantically rich...
ICDM
2008
IEEE
14 years 4 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
GFKL
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
TIT
2008
13 years 9 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...