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» Approximation Algorithms for Clustering Problems
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ICML
2009
IEEE
16 years 7 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
SIGMOD
1998
ACM
150views Database» more  SIGMOD 1998»
15 years 11 months ago
Extracting Schema from Semistructured Data
Semistructured data is characterized by the lack of any fixed and rigid schema, although typically the data hassomeimplicitstructure. While thelack offixedschemamakesextracting ...
Svetlozar Nestorov, Serge Abiteboul, Rajeev Motwan...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICASSP
2011
IEEE
14 years 10 months ago
Robust binary least squares: Relaxations and algorithms
Finding the least squares (LS) solution s to a system of linear equations Hs = y where H, y are given and s is a vector of binary variables, is a well known NP-hard problem. In th...
Efthymios Tsakonas, Joakim Jalden, Björn E. O...
ISAAC
2003
Springer
210views Algorithms» more  ISAAC 2003»
15 years 12 months ago
The Student-Project Allocation Problem
We study the problem of allocating students to projects, where both students and lecturers have preferences over projects, and both projects and lecturers have capacities. In this...
David J. Abraham, Robert W. Irving, David Manlove