15 citations · 33 across the 7 of their papers we have counts for
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Learning Manifolds from Non-stationary Streaming Data
Suchismit Mahapatra, Varun Chandola
Streaming adaptations of manifold learning based dimensionality reduction methods, such as Isomap, are based on the assumption that a small initial batch of observations is enough…
S-Isomap++: Multi Manifold Learning from Streaming Data
Suchismit Mahapatra, Varun Chandola
Manifold learning based methods have been widely used for non-linear dimensionality reduction (NLDR). However, in many practical settings, the need to process streaming data is a c…
Error Metrics for Learning Reliable Manifolds from Streaming Data
Frank Schoeneman, Suchismit Mahapatra, Varun Chandola +2
Spectral dimensionality reduction is frequently used to identify low-dimensional structure in high-dimensional data. However, learning manifolds, especially from the streaming data…