Pedro A. Forero

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 5

Top Topics

Dictionary Learning

Underwater Vehicles

Object Category Recognition

Top Venues

IEEE Trans. Signal Process.

Publications

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)
Pedro A. Forero, Peng Zhang, Dusan Radosevic
Toward Congestion Control in Lossy Networks via Local Queue-Management Policies. MILCOM (2022)
Pedro A. Forero, Paul A. Baxley
Tucker-Regularized Tensor Bregman Co-clustering. EUSIPCO (2020)
Pedro A. Forero, Paul A. Baxley, Matthew Capella
Co-clustering of High-order Data via Regularized Tucker Decompositions. ICASSP (2019)
Pedro A. Forero, Scott Shafer, Josh Harguess
Sparsity-Driven Laplacian-Regularized Outlier Identification for Dictionary Learning. IEEE Trans. Signal Process. 65 (14) (2017)
Pedro A. Forero, Scott Shafer, Josh Harguess
Structured outlier models for robust dictionary learning. CISS (2015)
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)
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) (2015)
Pedro A. Forero, Paul A. Baxley, Logan Straatemeier
Passive tracking of underwater acoustic sources with sparse innovations. FUSION (2015)
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) (2014)
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)
Pedro A. Forero
Broadband underwater source localization via multitask learning. CISS (2014)
Pedro A. Forero, Paul A. Baxley
Sparsity-Cognizant Source Location Mapping for Underwater Acoustics. MILCOM (2013)
Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis
Robust Clustering Using Outlier-Sparsity Regularization. IEEE Trans. Signal Process. 60 (8) (2012)
Pedro A. Forero, Ketan Rajawat, Georgios B. Giannakis
Semi-supervised dictionary learning for network-wide link load prediction. CIP (2012)
Pedro A. Forero, Georgios B. Giannakis
Sparsity-Exploiting Robust Multidimensional Scaling. IEEE Trans. Signal Process. 60 (8) (2012)
Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis
Outlier-aware robust clustering. ICASSP (2011)
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Distributed Clustering Using Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 5 (4) (2011)
Pedro A. Forero, Georgios B. Giannakis
Robust multi-dimensional scaling via outlier-sparsity control. ACSCC (2011)
Seung-Jun Kim, Nitin Jain, Georgios B. Giannakis, Pedro A. Forero
Joint link learning and cognitive radio sensing. ACSCC (2011)
Pedro A. Forero, Vassilis Kekatos, Georgios B. Giannakis
Robust Clustering Using Outlier-Sparsity Regularization CoRR (2011)
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Convergence analysis of consensus-based distributed clustering. ICASSP (2010)
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Consensus-based distributed linear support vector machines. IPSN (2010)
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Consensus-Based Distributed Support Vector Machines. J. Mach. Learn. Res. 11 (2010)
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)