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» Permuted Weighted Area Estimators
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WSC
2004
13 years 9 months ago
Permuted Weighted Area Estimators
Calvin and Nakayama previously introduced permuting as a way of improving existing standardized time series methods. The basic idea is to split a simulated sample path into nonove...
James M. Calvin, Marvin K. Nakayama
AUTOMATICA
2008
116views more  AUTOMATICA 2008»
13 years 7 months ago
A dynamical systems approach to weighted graph matching
Graph matching is a fundamental problem that arises frequently in the areas of distributed control, computer vision, and facility allocation. In this paper, we consider the optimal...
Michael M. Zavlanos, George J. Pappas
MOR
2006
73views more  MOR 2006»
13 years 7 months ago
Permuted Standardized Time Series for Steady-State Simulations
We describe an extension procedure for constructing new standardized time series procedures from existing ones. The approach is based on averaging over sample paths obtained by per...
James M. Calvin, Marvin K. Nakayama
ICML
2006
IEEE
14 years 8 months ago
Permutation invariant SVMs
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
Pannagadatta K. Shivaswamy, Tony Jebara
ICML
2003
IEEE
14 years 8 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth