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Pedro A. Forero
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2020 – today
- 2022
- [c17]Pedro A. Forero, Peng Zhang, Dusan Radosevic:
Toward Congestion Control in Lossy Networks via Local Queue-Management Policies. MILCOM 2022: 879-886 - [c16]Peng Zhang, Pedro A. Forero, Daniel Yap, Dusan Radosevic:
Evaluation of Reinforcement-Learning Queue Management Algorithm for Undersea Acoustic Networks Using ns-3. WNS3 2022: 105-111 - 2020
- [c15]Pedro A. Forero, Paul A. Baxley:
Tucker-Regularized Tensor Bregman Co-clustering. EUSIPCO 2020: 1497-1501
2010 – 2019
- 2019
- [c14]Pedro A. Forero, Paul A. Baxley, Matthew Capella:
Co-clustering of High-order Data via Regularized Tucker Decompositions. ICASSP 2019: 3442-3446 - 2017
- [j7]Pedro A. Forero, Scott Shafer, Josh Harguess:
Sparsity-Driven Laplacian-Regularized Outlier Identification for Dictionary Learning. IEEE Trans. Signal Process. 65(14): 3803-3817 (2017) - 2015
- [j6]Pedro A. Forero, Paul A. Baxley, Logan Straatemeier:
A Multitask Learning Framework for Broadband Source-Location Mapping Using Passive Sonar. IEEE Trans. Signal Process. 63(14): 3599-3614 (2015) - [c13]Pedro A. Forero, Scott Shafer, Josh Harguess:
Structured outlier models for robust dictionary learning. CISS 2015: 1-6 - [c12]Pedro A. Forero, Paul A. Baxley, Logan Straatemeier:
Passive tracking of underwater acoustic sources with sparse innovations. FUSION 2015: 1702-1708 - [c11]Filippo Campagnaro, Federico Guerra, Federico Favaro, Violeta Sanjuan Calzado, Pedro A. Forero, Michele Zorzi, Paolo Casari:
Simulation of a Multimodal Wireless Remote Control System for Underwater Vehicles. WUWNet 2015: 32:1-32:8 - 2014
- [j5]Pedro A. Forero, Ketan Rajawat, Georgios B. Giannakis:
Prediction of Partially Observed Dynamical Processes Over Networks via Dictionary Learning. IEEE Trans. Signal Process. 62(13): 3305-3320 (2014) - [c10]Pedro A. Forero:
Broadband underwater source localization via multitask learning. CISS 2014: 1-6 - [c9]Pedro A. Forero, Stephan K. Lapic, Cherry Wakayama, Michele Zorzi:
Rollout Algorithms for Data Storage- and Energy-Aware Data Retrieval Using Autonomous Underwater Vehicles. WUWNet 2014: 22:1-22:8 - 2013
- [c8]Pedro A. Forero, Paul A. Baxley:
Sparsity-Cognizant Source Location Mapping for Underwater Acoustics. MILCOM 2013: 1139-1144 - 2012
- [j4]Pedro A. Forero, Georgios B. Giannakis:
Sparsity-Exploiting Robust Multidimensional Scaling. IEEE Trans. Signal Process. 60(8): 4118-4134 (2012) - [j3]Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis:
Robust Clustering Using Outlier-Sparsity Regularization. IEEE Trans. Signal Process. 60(8): 4163-4177 (2012) - [c7]Pedro A. Forero, Ketan Rajawat, Georgios B. Giannakis:
Semi-supervised dictionary learning for network-wide link load prediction. CIP 2012: 1-5 - 2011
- [j2]Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis:
Distributed Clustering Using Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 5(4): 707-724 (2011) - [c6]Pedro A. Forero, Georgios B. Giannakis:
Robust multi-dimensional scaling via outlier-sparsity control. ACSCC 2011: 1183-1187 - [c5]Seung-Jun Kim, Nitin Jain, Georgios B. Giannakis, Pedro A. Forero:
Joint link learning and cognitive radio sensing. ACSCC 2011: 1415-1419 - [c4]Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis:
Outlier-aware robust clustering. ICASSP 2011: 2244-2247 - [i1]Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis:
Robust Clustering Using Outlier-Sparsity Regularization. CoRR abs/1104.4512 (2011) - 2010
- [j1]Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis:
Consensus-Based Distributed Support Vector Machines. J. Mach. Learn. Res. 11: 1663-1707 (2010) - [c3]Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis:
Convergence analysis of consensus-based distributed clustering. ICASSP 2010: 1890-1893 - [c2]Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis:
Consensus-based distributed linear support vector machines. IPSN 2010: 35-46
2000 – 2009
- 2008
- [c1]Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis:
Consensus-based distributed expectation-maximization algorithm for density estimation and classification using wireless sensor networks. ICASSP 2008: 1989-1992
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