[Turkmath:6297] Seckin Seminerler- Carsamba 18:00 - Ingrid Daubechies

[Baris Coskunuzer]

Sayın Liste Üyeleri,

Aralık ayının seçkin semineri 6 Aralık 2023 Çarşamba günü saat
18.00'de. Uygulamalı Matematiğin liderlerinden Ingrid Daubechies, çok
ilginç bir konuşmayla karşımızda.

Zoom link: https://nyu.zoom.us/j/96571913368?pwd=YStxRjJ3U3JxdmN5Qko0N3JHeDdFZz09

Konuşmacı: Ingrid Daubechies (Duke University)

Başlık: Old-fashioned Machine Learning: Using Diffusion Methods to
Learn Underlying Structure

Özet: Many datasets consist of complex items that can be reasonably
surmised to lie on a manifold of much lower dimension than the number
of
parameters or coordinates with which the individual items are acquired.

Manifold diffusion is an established method, used successfully to
parametrize such datasets much more succinctly. The talk describes an
enhancement of this method: when each individual item is itself a
complex object, as is the case in many applications, one can model the
collection as a fiber bundle, and build a fiber bundle diffusion
operator from which one can gradually learn properties of the
underlying
base manifold. This will be illustrated with applications to
morphological evolutionary studies in biology.

Poster: https://tmd.org.tr/wp-content/uploads/2023/09/ColloquiumARALIK-2023poster_page-0001-1.jpg
https://tmd.org.tr/tms-distinguished-colloquium-series/

https://en.wikipedia.org/wiki/Ingrid_Daubechies

Tüm matematikseverleri bekliyoruz. Konuşmayı bölümlerinizde
paylaşabilirseniz seviniriz.

Saygılarımızla

TMD Seçkin Seminerler Komitesi
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