Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188709
Abstract: Despite many recent advances, state-of-the-art recommender systems still struggle to achieve good performance with sparse datasets. To address the sparsity issue, transfer learning techniques have been investigated for recommender systems, but they tend to impose…
read more here.
Keywords:
transfer learning;
source target;
recommender systems;
Photo from wikipedia
Sign Up to like & get
recommendations!
3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235205
Abstract: How can we bridge efficiently distribution difference between the source and target domains in an isomorphic latent feature space by using metric learning. This study introduces metric learning on manifolds which combine a cascaded learning…
read more here.
Keywords:
domain adaptation;
metric learning;
geometry;
cascaded learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2915081
Abstract: We study the problem of computing a minimal subset of nodes of a given asynchronous Boolean network that need to be perturbed in a single-step to drive its dynamics from an initial state to a…
read more here.
Keywords:
source target;
approach;
source;
target ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3220630
Abstract: Copy-move forgery can be used for hiding certain objects or duplicating meaningful objects in images. Although copy-move forgery detection has been studied extensively in recent years, it is still a challenging task to distinguish between…
read more here.
Keywords:
move forgery;
source target;
move;
copy move ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2020.3045903
Abstract: We propose a method to identify the source and target regions of a copy-move forgery so allow a correct localisation of the tampered area. First, we cast the problem into a hypothesis testing framework whose…
read more here.
Keywords:
source target;
move;
copy move;
multi branch ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3031161
Abstract: Domain adaptation aims to alleviate the distribution discrepancy between source and target domains. Most conventional methods focus on one target domain setting adapted from one or multiple source domains while neglecting the multi-target domain setting.…
read more here.
Keywords:
domain adaptation;
source target;
target;
multiple source ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3012457
Abstract: A key challenge in many applications of multisource transfer learning is to explicitly capture the diverse source–target similarities. In this article, we are concerned with stretching the set of practical approaches based on Gaussian process…
read more here.
Keywords:
tex math;
source target;
inline formula;
transfer ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
2
Published in 2022 at "Neural Regeneration Research"
DOI: 10.4103/1673-5374.332124
Abstract: Prolactin is a polypeptide hormone associated with an extensive variety of biological functions. Among the roles of prolactin in vertebrates, some were preserved throughout evolution. This is the case of its function in the brain,…
read more here.
Keywords:
target prolactin;
prolactin;
prolactin mammals;
source target ... See more keywords