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Fri Sep 13

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Sep 20

Special Events and Seminars

1:25pm - Vincent Hall 213
A p-adic analytic interpolation of a finite field character
Steven Sperber, University of Minnesota
Fri Sep 27

Special Events and Seminars

1:25pm - Vincent Hall 213
A p-adic analytic interpolation of a finite field character, II
Steven Sperber, University of Minnesota
Fri Oct 04

Special Events and Seminars

1:25pm - Vincent Hall 213
"Trace Formula, I"
Steven Sperber, University of Minnesota
Fri Oct 11

Special Events and Seminars

1:25pm - Vincent Hall 213
Trace Formula (continued)
Steven Sperber, University of Minnesota
Fri Oct 18

Special Events and Seminars

1:25pm - Vincent Hall 213
Trace Formula, continued
Steven Sperber, University of Minnesota
Fri Oct 25

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Nov 01

Special Events and Seminars

1:25pm - Vincent Hall 213
p-Adic Banach Spaces and Completely Continuous Endomorphisms
Steven Sperber
Fri Nov 08

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
Steven Sperber
Fri Nov 15

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Nov 22

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Nov 22

Special Events and Seminars

3:30pm - Vincent Hall 20
Mass Scale Image Analysis For Automated Plant Phenotyping and Classification via Machine Learning
Riley O'Neill, University of St. Thomas

The capacity to quantify crop architecture and morphology is foundational to the development of higher yielding cultivars via hybridization and genetic engineering. However, at the mass scale required by the science, manual plant phenotyping with physical instruments is arduous, time consuming, subjective, and a leading cause of undergraduate burnout in the UMN plant genetics department. While the process has been slightly improved with manual image analysis, such is almost as time consuming and remains subject to human error. Thereby, in efforts to further expedite phenotyping processes, circumvent human error, and provide more detailed analyses, we aim to completely automate plant phenotyping processes for the UMN plant genetics department and beyond. Working from over 15,000 soybean plants, we’ve advanced robust image processing platforms for measuring petiole and stem length, leaf area, leaf shape via signature curves, and branch angles via energy minimization in 2D, and begun preliminary work at 3D reconstructions from 2D data for 3D branch angles and further analyses. After data extraction and verification, we plan to implement clustering algorithms and machine learning to automatically group plant phenotypes as well as conduct principal component analysis to assemble an allometry space and identify the primary genes of influence.

Fri Nov 29

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Dec 06

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Dec 13

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA