3 papers
stat.ML2017
Data-Driven Tree Transforms and Metrics
Gal Mishne, Ronen Talmon, Israel Cohen +2
We consider the analysis of high dimensional data given in the form of a matrix with columns consisting of observations and rows consisting of features. Often the data is such that…
stat.ML2017
Mahalanonbis Distance Informed by Clustering
Almog Lahav, Ronen Talmon, Yuval Kluger
A fundamental question in data analysis, machine learning and signal processing is how to compare between data points. The choice of the distance metric is specifically challenging…
math-ph2015
Parsimonious Representation of Nonlinear Dynamical Systems Through Manifold Learning: A Chemotaxis Case Study
Carmeline J. Dsilva, Ronen Talmon, Ronald R. Coifman +1
Nonlinear manifold learning algorithms, such as diffusion maps, have been fruitfully applied in recent years to the analysis of large and complex data sets. However, such algorithm…