15 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.LG2016★ 2 cited
Incomplete Pivoted QR-based Dimensionality Reduction
Amit Bermanis, Aviv Rotbart, Moshe Salhov +1
High-dimensional big data appears in many research fields such as image recognition, biology and collaborative filtering. Often, the exploration of such data by classic algorithms…
stat.ML2015
Diffusion Representations
Moshe Salhov, Amit Bermanis, Guy Wolf +1
Diffusion Maps framework is a kernel based method for manifold learning and data analysis that defines diffusion similarities by imposing a Markovian process on the given dataset.…
stat.ML2015★ 15 cited
PCA-Based Out-of-Sample Extension for Dimensionality Reduction
Yariv Aizenbud, Amit Bermanis, Amir Averbuch
Dimensionality reduction methods are very common in the field of high dimensional data analysis. Typically, algorithms for dimensionality reduction are computationally expensive. T…