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» A Riemannian approach to graph embedding
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ICPR
2008
IEEE
14 years 3 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ISSS
1995
IEEE
100views Hardware» more  ISSS 1995»
14 years 14 days ago
Optimal code generation for embedded memory non-homogeneous register architectures
This paper examines the problem of code-generation for expression trees on non-homogeneous register set architectures. It proposes and proves the optimality of an O(n) algorithm f...
Guido Araujo, Sharad Malik
COMGEO
2004
ACM
13 years 8 months ago
A multi-dimensional approach to force-directed layouts of large graphs
We present a novel hierarchical force-directed method for drawing large graphs. Given a graph G = (V,E), the algorithm produces an embedding for G in an Euclidean space E of any d...
Pawel Gajer, Michael T. Goodrich, Stephen G. Kobou...
COMPGEOM
2010
ACM
14 years 2 months ago
Adding one edge to planar graphs makes crossing number hard
A graph is near-planar if it can be obtained from a planar graph by adding an edge. We show that it is NP-hard to compute the crossing number of near-planar graphs. The main idea ...
Sergio Cabello, Bojan Mohar
SODA
2010
ACM
248views Algorithms» more  SODA 2010»
14 years 6 months ago
Approximating the Crossing Number of Graphs Embeddable in Any Orientable Surface
The crossing number of a graph is the least number of pairwise edge crossings in a drawing of the graph in the plane. We provide an O(n log n) time constant factor approximation al...
Petr Hlineny, Markus Chimani