Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Hannak, Gabor
Berger, Peter
Matz, Gerald
and
Jung, Alexander
2016.
Efficient graph signal recovery over big networks.
p.
1839.
Jung, Alexander
Berger, Peter
Hannak, Gabor
and
Matz, Gerald
2016.
Scalable graph signal recovery for big data over networks.
p.
1.
Mara, Alexandru
and
Jung, Alexander
2017.
Recovery conditions and sampling strategies for network Lasso.
p.
405.
Berger, Peter
Hannak, Gabor
and
Matz, Gerald
2017.
Graph Signal Recovery via Primal-Dual Algorithms for Total Variation Minimization.
IEEE Journal of Selected Topics in Signal Processing,
Vol. 11,
Issue. 6,
p.
842.
Berger, Peter
Hannak, Gabor
and
Matz, Gerald
2017.
Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization.
p.
1689.
Jung, Alexander
Heimowitz, Ayelet
and
Eldar, Yonina C.
2017.
The network nullspace property for compressed sensing over networks.
p.
644.
Jung, Alexander
Tran, Nguyen
and
Mara, Alexandru
2018.
When Is Network Lasso Accurate?.
Frontiers in Applied Mathematics and Statistics,
Vol. 3,
Issue. ,
Berger, Peter
Buchacher, Manfred
Hannak, Gabor
and
Matz, Gerald
2018.
Graph Learning Based on Total Variation Minimization.
p.
6309.
Hulsebos, Madelon
and
Jung, Alexander
2018.
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks.
p.
4549.
Jung, Alexander
and
Hulsebos, Madelon
2018.
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks.
Frontiers in Applied Mathematics and Statistics,
Vol. 4,
Issue. ,
Yeung, Raymond W.
Al-Bashabsheh, Ali
Chen, Chao
Chen, Qi
and
Moulin, Pierre
2019.
On Information-Theoretic Characterizations of Markov Random Fields and Subfields.
IEEE Transactions on Information Theory,
Vol. 65,
Issue. 3,
p.
1493.
Yarali, Abdulrahman
Joyce, Randall
and
Dixon, Brandon
2020.
Ethics of Big Data: Privacy, Security and Trust.
p.
1.
Jung, Alexander
2020.
Networked Exponential Families for Big Data Over Networks.
IEEE Access,
Vol. 8,
Issue. ,
p.
202897.
Tran, Nguyen
Ambos, Henrik
and
Jung, Alexander
2020.
Classifying Partially Labeled Networked Data VIA Logistic Network Lasso.
p.
3832.
Jung, Alexander
2020.
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization.
p.
731.
Tran, Nguyen
Abramenko, Oleksii
and
Jung, Alexander
2020.
On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples.
IEEE Transactions on Signal Processing,
Vol. 68,
Issue. ,
p.
17.
SarcheshmehPour, Y.
Tian, Y.
Zhang, L.
and
Jung, A.
2021.
Flow-Based Clustering and Spectral Clustering: A Comparison.
p.
1292.
Garrett, Karen A.
2021.
Impact network analysis and the ina r package: Decision support for regional management interventions.
Methods in Ecology and Evolution,
Vol. 12,
Issue. 9,
p.
1634.
SarcheshmehPour, Yasmin
Tian, Yu
Zhang, Linli
and
Jung, Alexander
2023.
Clustered Federated Learning via Generalized Total Variation Minimization.
IEEE Transactions on Signal Processing,
Vol. 71,
Issue. ,
p.
4240.
Jung, A.
Abdurakhmanova, S.
Kuznetsova, O.
and
Sarcheshmehpour, Y.
2023.
Towards Model-Agnostic Federated Learning over Networks.
p.
1614.