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ICML
2009
IEEE
16 years 7 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
APPROX
2007
Springer
100views Algorithms» more  APPROX 2007»
16 years 24 days ago
Implementing Huge Sparse Random Graphs
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
Moni Naor, Asaf Nussboim
STOC
1990
ACM
135views Algorithms» more  STOC 1990»
15 years 10 months ago
A Separator Theorem for Graphs with an Excluded Minor and its Applications
ions (Extended Abstract) Noga Alon Paul Seymour Robin Thomas Let G be an n-vertex graph with nonnegative weights whose sum is 1 assigned to its vertices, and with no minor isomorp...
Noga Alon, Paul D. Seymour, Robin Thomas
DAC
2005
ACM
15 years 8 months ago
Multiplexer restructuring for FPGA implementation cost reduction
This paper presents a novel synthesis algorithm that reduces the area needed for implementing multiplexers on an FPGA by an average of 18%. This is achieved by reducing the number...
Paul Metzgen, Dominic Nancekievill
STOC
2002
ACM
99views Algorithms» more  STOC 2002»
16 years 7 months ago
Recognizing string graphs in NP
A string graph is the intersection graph of a set of curves in the plane. Each curve is represented by a vertex, and an edge between two vertices means that the corresponding curv...
Marcus Schaefer, Eric Sedgwick, Daniel Stefankovic