Mio, Washington
93  Ergebnisse:
Personensuche X
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2

Decorated merge trees for persistent topology:

Curry, Justin ; Hang, Haibin ; Mio, Washington..
Journal of Applied and Computational Topology.  6 (2022)  3 - p. 371-428 , 2022
 
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3

Correspondence modules and persistence sheaves: a unifying ..:

Hang, Haibin ; Mio, Washington
Japan Journal of Industrial and Applied Mathematics.  40 (2022)  1 - p. 41-93 , 2022
 
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4

The shape of data and probability measures:

Díaz Martínez, Diego H. ; Mémoli, Facundo ; Mio, Washington
Applied and Computational Harmonic Analysis.  48 (2020)  1 - p. 149-181 , 2020
 
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5

Towards Quantifying Intrinsic Generalization of Deep ReLU N..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
 
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6

Probing the geometry of data with diffusion Fréchet functio..:

Díaz Martínez, Diego H. ; Lee, Christine H. ; Kim, Peter T..
Applied and Computational Harmonic Analysis.  47 (2019)  3 - p. 935-947 , 2019
 
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7

Learning shape metrics with Monte Carlo optimization:

Cellat, Serdar ; Fan, Yu ; Mio, Washington.
Journal of Computational and Applied Mathematics.  348 (2019)  - p. 120-129 , 2019
 
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8

A topological study of functional data and Fréchet function..:

Hang, Haibin ; Mémoli, Facundo ; Mio, Washington
Journal of Applied and Computational Topology.  3 (2019)  4 - p. 359-380 , 2019
 
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