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Batch-Incremental Triplet Sampling for Training Triplet Networks Using
  Bayesian Updating Theorem
v1v2 (latest)

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem

10 July 2020
Milad Sikaroudi
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
ArXiv (abs)PDFHTML

Papers citing "Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem"

3 / 3 papers shown
Title
Hospital-Agnostic Image Representation Learning in Digital Pathology
Hospital-Agnostic Image Representation Learning in Digital Pathology
Milad Sikaroudi
Shahryar Rahnamayan
H. R. Tizhoosh
OOD
55
8
0
05 Apr 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
88
21
0
23 Jan 2022
Quantile-Quantile Embedding for Distribution Transformation and Manifold
  Embedding with Ability to Choose the Embedding Distribution
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
22
2
0
19 Jun 2020
1