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» Kernelization and Complexity Results for Connectivity Augmen...
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MST
2007
154views more  MST 2007»
14 years 9 months ago
Crown Structures for Vertex Cover Kernelization
Crown structures in a graph are defined and shown to be useful in kernelization algorithms for the classic vertex cover problem. Two vertex cover kernelization methods are discus...
Faisal N. Abu-Khzam, Michael R. Fellows, Michael A...
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
15 years 10 months ago
On the complexity of communication complexity
We consider the following question: given a two-argument boolean function f, represented as an N ? N binary matrix, how hard is to determine the (deterministic) communication comp...
Eyal Kushilevitz, Enav Weinreb
STOC
2002
ACM
107views Algorithms» more  STOC 2002»
15 years 9 months ago
Quantum lower bound for the collision problem
The collision problem is to decide whether a function X : {1, . . . , n} {1, . . . , n} is one-to-one or two-to-one, given that one of these is the case. We show a lower bound of...
Scott Aaronson
87
Voted
CIKM
2005
Springer
15 years 3 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
NIPS
2004
14 years 11 months ago
Efficient Kernel Machines Using the Improved Fast Gauss Transform
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis