Skip to content (access key 's')
Logo of Technion
Logo of CS Department
Logo of CS4People

The Taub Faculty of Computer Science Events and Talks

Pixel Club: Empirical Intrinsic Geometries of Stochastic Datasets
event speaker icon
Ronald Coifman (Mathematics and Computer Science, Yale)
event date icon
Tuesday, 19.11.2013, 11:30
event location icon
EE Meyer Building 1003
We will provide and overview of a range of ideas from Analysis, Statistical learning and diffusion Geometry , which address the transition from local data models to global configurations. In particular if the data under consideration is sensor data which is a noisy nonlinear complex transformation of natural parameters , we describe a methodology for deriving these parameters. Specifically we describe the role of eigenvectors (of appropriate locally learned “differential” transformations of histograms) as integration tools. We will show applications to analyze and model EEG signals prior to an epileptic attack , prenatal monitoring , acoustic localization ,molecular dynamics ,chemical reactions etc .

The point being that all models are built with no prior physical knowledge.