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MREC: a fast and versatile framework for aligning and matching point
  clouds with applications to single cell molecular data

MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data

6 January 2020
Andrew J. Blumberg
Mathieu Carrière
Michael A. Mandell
R. Rabadán
Soledad Villar
ArXivPDFHTML

Papers citing "MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data"

7 / 7 papers shown
Title
Statistical Optimal Transport via Factored Couplings
Statistical Optimal Transport via Factored Couplings
Aden Forrow
Jan-Christian Hütter
Mor Nitzan
Philippe Rigollet
Geoffrey Schiebinger
Jonathan Niles-Weed
OT
146
69
0
19 Jun 2018
Monte Carlo approximation certificates for k-means clustering
Monte Carlo approximation certificates for k-means clustering
D. Mixon
Soledad Villar
16
5
0
03 Oct 2017
A polynomial-time relaxation of the Gromov-Hausdorff distance
A polynomial-time relaxation of the Gromov-Hausdorff distance
Soledad Villar
Afonso S. Bandeira
Andrew J. Blumberg
Rachel A. Ward
31
18
0
17 Oct 2016
Clustering is Easy When ....What?
Clustering is Easy When ....What?
Shai Ben-David
15
6
0
19 Oct 2015
Probably certifiably correct k-means clustering
Probably certifiably correct k-means clustering
Takayuki Iguchi
D. Mixon
Jesse Peterson
Soledad Villar
30
43
0
26 Sep 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
205
4,258
0
04 Jun 2013
Algorithms to automatically quantify the geometric similarity of
  anatomical surfaces
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
D. Boyer
Y. Lipman
Elizabeth St. Clair
J. Puente
Thomas Funkhouser
B. Patel
J. Jernvall
Ingrid Daubechies
74
176
0
17 Oct 2011
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