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» BDD minimization for approximate computing
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COMGEO
2004
ACM
14 years 10 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
72
Voted
DAC
2009
ACM
15 years 11 months ago
A fully polynomial time approximation scheme for timing driven minimum cost buffer insertion
As VLSI technology enters the nanoscale regime, interconnect delay has become the bottleneck of the circuit timing. As one of the most powerful techniques for interconnect optimiz...
Shiyan Hu, Zhuo Li, Charles J. Alpert
FOCS
2003
IEEE
15 years 4 months ago
Approximation Algorithms for Orienteering and Discounted-Reward TSP
In this paper, we give the rst constant-factor approximationalgorithmfor the rooted Orienteering problem, as well as a new problem that we call the Discounted-Reward TSP, motivate...
Avrim Blum, Shuchi Chawla, David R. Karger, Terran...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 5 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
78
Voted
SIGCOMM
1999
ACM
15 years 3 months ago
A Simple Approximation to Minimum-Delay Routing
The conventional approach to routing in computer networks consists of using a heuristic to compute a single shortest path from a source to a destination. Single-path routing is ve...
Srinivas Vutukury, J. J. Garcia-Luna-Aceves