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Mathematics and Statistics Colloquium: "Object Oriented Data Analysis: Big Faces and Little Proteins" by Dr. Ian Dryden

This is a past event.

Thursday, November 18, 2021 at 3:45pm to 4:45pm

DM - Deuxieme Maison, 409A
11200 SW 8th ST 33199, Deuxieme Maison, Miami, Florida 33199

Object-oriented data analysis (OODA) is a framework for analyzing datasets with much richer structure than the usual numbers or vectors. Examples of object data include shapes, functions, images and networks.  At the start of any OODA application we need to answer the following questions: What are the data objects? What is the object representation space? What is the feature space for carrying out practical statistical analysis? What statistical methods will be used?  This talk by FIU Professor Dr. Ian Dryden will focus on shape analysis, which is of interest in many practical applications. Typically the representation space of shapes is a quotient space, where translation, rotation and size have been removed. An important aspect of OODA is to reduce the dimension to a small number key features while respecting the geometry of the manifold in which objects lie.

Two case studies are given with objects at big and little scales:

  • Describing face shape, and its relationship with age and gender
  • Clustering the shapes of dynamic proteins.


This event is being held both in-person and through a zoom stream.

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Join Zoom Meeting


Meeting ID: 996 8472 3571

Passcode: FIU2021

Event Type

Academics, Lectures & conferences


Students, Faculty & Staff



Department of Mathematics and Statistics
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