81 citations · 82 across the 3 of their papers we have counts for
3 papers
stat.ML2008★ 1 cited
LLE with low-dimensional neighborhood representation
Yair Goldberg, Ya'acov Ritov
The local linear embedding algorithm (LLE) is a non-linear dimension-reducing technique, widely used due to its computational simplicity and intuitive approach. LLE first linearly…
stat.ML2008
Local Procrustes for Manifold Embedding: A Measure of Embedding Quality and Embedding Algorithms
Y. Goldberg, Y. Ritov
We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as L…
stat.ML2008★ 81 cited
Manifold Learning: The Price of Normalization
Y. Goldberg, A. Zakai, D. Kushnir +1
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consist…