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Iterative Projection and Matching: Finding Structure-preserving
  Representatives and Its Application to Computer Vision

Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision

29 November 2018
M. Joneidi
Alireza Zaeemzadeh
Nazanin Rahnavard
M. Shah
ArXivPDFHTML

Papers citing "Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision"

2 / 2 papers shown
Title
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
17
6
0
19 Jul 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1