49 search results - page 1 / 10 » Projective Nonnegative Graph Embedding |
TIP
2010
13 years 5 months ago
2010
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graph...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we study the problem of nonnegative graph
embedding, originally investigated in [14] for reaping the
benefits from both nonnegative data factorization and the
spe...
SIAMJO
2008
13 years 7 months ago
2008
Eigenvectors to the second smallest eigenvalue of the Laplace matrix of a graph, also known as Fiedler vectors, are the basic ingredient in spectral graph partitioning heuristics....
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Let G be a directed graph with n vertices and non-negative weights in its directed edges, embedded on a surface of genus g, and let f be an arbitrary face of G. We describe an alg...