MS-Th-E-05
Geometric Understanding of Data in 3D and Higher - Part I of III
For Part II, see MS-Fr-D-05
For Part III, see MS-Fr-E-05

Date: August 13
Time: 16:00--18:00
Room: 215

(Note: Click title to show the abstract.)

Organizer:
Lai, Rongjie (Rensselaer Polytechnic Inst.)
Zhao, Hongkai (UC Irvine)

Abstract: Rapid development of data acquisition technology stimulates research on developing new computational tools for analyzing and processing data to make more effective decisions. In many problems, coherent structures of data allows us to model data as a low dimension manifold in a high dimension space. More recently, there has been increasing interests in using geometric based method to analyze and infer underlying structures from the given data. This minisymposium aims to bring together people from different research groups with common interest. We hope that this symposium can propel further collaborations and developments in this field.


MS-Th-E-05-1
16:00--16:30
Multi-scale Non-Rigid Point Cloud Registration Using Robust Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap
Zhao, Hongkai (UC Irvine)
Lai, Rongjie (Rensselaer Polytechnic Inst.)


MS-Th-E-05-2
16:30--17:00
Graph cut methods for semi-supervised and unsupervised data classification
Bertozzi, Andrea (UCLA)


MS-Th-E-05-3
17:00--17:30
Convergence of the Laplace-Beltrami Operator from Point Clouds
Sun, Jian (tsinghua Univ.)


MS-Th-E-05-4
17:30--18:00
New old methods for manifold correspondence
Bronstein, Michael (Univ. of Lugano (USI) / Intel)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA