1-1 of 1
Margrit Betke
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

The Kernel Semi–Least Squares Method for Sparse Distance Approximation

Samuel Epstein, Margrit Betke
Publisher: Journals Gateway
Neural Computation (2013) 25 (2): 532–548.
DOI: https://doi.org/10.1162/NECO_a_00401
Published: 01 February 2013
FIGURES | View All (14)
Abstract
We extend the semi–least squares problem defined by Rao and Mitra ( 1971 ) to the kernel semi–least squares problem. We introduce subset projection, a technique that produces a solution to this problem. We show how the results of subset projection can be used to approximate a computationally expensive distance metric.
View article PDF