nips nips2002 nips2002-111 nips2002-111-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Trevor Hastie, Rob Tibshirani
Abstract: We present a simple direct approach for solving the ICA problem, using density estimation and maximum likelihood. Given a candidate orthogonal frame, we model each of the coordinates using a semi-parametric density estimate based on cubic splines. Since our estimates have two continuous derivatives , we can easily run a second order search for the frame parameters. Our method performs very favorably when compared to state-of-the-art techniques. 1
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