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» Randomizing Reductions of Search Problems
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SSIAI
2002
IEEE
14 years 20 days ago
Two Dimensional Projective Point Matching
Point matching is the task of finding a set of correspondences between two sets of points under some geometric transformation. A local search algorithm for point matching is pres...
Jason Denton, J. Ross Beveridge
IPPS
2000
IEEE
14 years 4 days ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
FOCS
1998
IEEE
14 years 20 hour ago
The Shortest Vector in a Lattice is Hard to Approximate to Within Some Constant
We show that approximating the shortest vector problem (in any p norm) to within any constant factor less than p 2 is hard for NP under reverse unfaithful random reductions with i...
Daniele Micciancio
DASFAA
2010
IEEE
252views Database» more  DASFAA 2010»
14 years 2 days ago
Effectively Inferring the Search-for Node Type in XML Keyword Search
xml keyword search provides a simple and user-friendly way of retrieving data from xml databases, but the ambiguities of keywords make it difficult to effectively answer keyword qu...
Jiang Li, Junhu Wang
JAIR
2007
106views more  JAIR 2007»
13 years 7 months ago
Solution-Guided Multi-Point Constructive Search for Job Shop Scheduling
Solution-Guided Multi-Point Constructive Search (SGMPCS) is a novel constructive search technique that performs a series of resource-limited tree searches where each search begins...
J. Christopher Beck