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An efficient set estimator in high dimensions: consistency and applications to
 

Summary: An efficient set estimator in high
dimensions: consistency and applications to
fast data visualization
A. Ray Chaudhuri,a
A. Basu,b
K. Tan,c
S. Bhandari,b
and B.B. Chaudhurib,*
a
Computer Science and Engineering Department, Jadavpur University, Kolkata, West Bengal, India
b
Indian Statistical Institute, 203 B.T. Road, Kolkata, West Bengal, India
c
University of Illinois at Urbana Champaign Urbana, IL, USA
Received 4 September 2002; accepted 17 October 2003
Abstract
Data visualization from a point set by estimating the underlying region is a problem of con-
siderable practical interest and is an associated problem of set estimation. The most important
issue in set estimation is consistency. Only a few existing point pattern shape descriptors that
estimate the underlying region are consistent set estimators (a set estimator is consistent if it

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering