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Transfer-based machine translation
Known as:
Deep transfer
, Transfer approach
Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation…
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12 relations
Apptek
Chunk (information)
DELPH-IN
Dictionary-based machine translation
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Learning What and Where to Transfer
Yunhun Jang
,
Hankook Lee
,
Sung Ju Hwang
,
Jinwoo Shin
International Conference on Machine Learning
2019
Corpus ID: 155092628
As the application of deep learning has expanded to real-world problems with insufficient volume of training data, transfer…
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Highly Cited
2018
Highly Cited
2018
Comparison of Deep Transfer Learning Strategies for Digital Pathology
Romain Mormont
,
P. Geurts
,
R. Marée
IEEE/CVF Conference on Computer Vision and…
2018
Corpus ID: 53527304
In this paper, we study deep transfer learning as a way of overcoming object recognition challenges encountered in the field of…
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Highly Cited
2018
Highly Cited
2018
Learning Linear Transformations for Fast Arbitrary Style Transfer
Xueting Li
,
Sifei Liu
,
J. Kautz
,
Ming-Hsuan Yang
arXiv.org
2018
Corpus ID: 52003085
Given a random pair of images, an arbitrary style transfer method extracts the feel from the reference image to synthesize an…
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Highly Cited
2016
Highly Cited
2016
Unsupervised domain adaptation for speech emotion recognition using PCANet
Zhengwei Huang
,
W. Xue
,
Qi-rong Mao
,
Yongzhao Zhan
Multimedia tools and applications
2016
Corpus ID: 26382084
Research in emotion recognition seeks to develop insights into the variances of features of emotion in one common domain. However…
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Highly Cited
2013
Highly Cited
2013
Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France)
H. Sellami
,
I. L. Jeunesse
,
S. Benabdallah
,
N. Baghdadi
,
M. Vanclooster
2013
Corpus ID: 55363531
In this study a method for propagating the hydrological model uncertainty in discharge predictions of un-gauged Mediterranean…
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Review
2010
Review
2010
Knowledge transfer processes for different experience levels of knowledge recipients at an offshore technical support center
Jihong Chen
,
R. McQueen
Information Technology and People
2010
Corpus ID: 33589755
Purpose – This paper aims to focus on the relationships between the levels of knowledge and the type of knowledge transfer…
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Highly Cited
2005
Highly Cited
2005
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
Suju Rajan
,
Joydeep Ghosh
IEEE Transactions on Geoscience and Remote…
2005
Corpus ID: 6107115
Obtaining ground truth for classification of remotely sensed data is time consuming and expensive, resulting in poorly…
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Highly Cited
2003
Highly Cited
2003
Meta-Analytic Benefit Transfer of Outdoor Recreation Economic Values: Testing Out-of-Sample Convergent Validity
R. Shrestha
,
J. Loomis
2003
Corpus ID: 56424906
A benefit transfer approach to recreationeconomic valuation using meta-analysis isexamined. Since the meta- regression modeltakes…
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Review
1996
Review
1996
Testing the Reliability of the Benefit Function Transfer Approach
M. Downing
,
Teofilo Ozuna
1996
Corpus ID: 20264939
Abstract This article presents an experiment designed to test the reliability of the benefit function transfer approach using…
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Highly Cited
1995
Highly Cited
1995
Privatized infrastructure : the build operate transfer approach
C. Walker
,
A. Smith
1995
Corpus ID: 166867624
How the concept evolved Granting authority's perspective Concessionaire's perspective Funder's perspective Financial engineering…
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