Jeffrey Tenenbaum

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Local Tangent Space Alignment (LTSA) algorithm is a classic local nonlinear manifold learning algorithm based on the information about local neighborhood space, i.e., local tangent space with respect to each point in dataset, which aims at finding the low-dimension intrinsic structure lie in high dimensional data space for the purpose of dimensionality(More)
Locally Linear Embedding (LLE) algorithm is the first classic nonlinear manifold learning algorithm based on the local structure information about the data set, which aims at finding the low-dimension intrinsic structure lie in high dimensional data space for the purpose of dimensionality reduction. One deficiency appeared in this algorithm is that it(More)
An ``Alternating Sequential/Parallel'' system, the Mopps was introduced a few years ago and is modified despite the fact that it solved satisfactorily a number of real-time problems. The new system, the ``Topps'' is described and compared to Mopps in Section II and two applications are chosen to prove it to be superior. In Section III, the advantage of(More)
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