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A Gradient-Based Method for Robust Sensor Selection in Hypothesis Testing.

, , , , and . Sensors, 20 (3): 697 (2020)

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A Gradient-Based Method for Robust Sensor Selection in Hypothesis Testing., , , , and . Sensors, 20 (3): 697 (2020)Joint Dimension Assignment and Compression for Deterministic Parameter Vector Estimation in Distributed Multisensor Networks., , , , , and . IEEE Trans. Signal Process., (2021)An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity., , , , and . IEEE Trans. Signal Process., (2022)Closed-Form Solution for Optimal Compression Matrix Design in Distributed Estimation., , , and . IEEE Access, (2019)Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements., , and . Sensors, 24 (2): 392 (January 2024)A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines., , , , and . CoRR, (2019)An Inexact Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration., , , and . Asia Pac. J. Oper. Res., 37 (4): 2040010:1-2040010:25 (2020)An Iterative Ensemble Transform Kalman Filter Based on the Smoothing and the Filtering Steps., , , , and . ICCAIS, page 904-908. IEEE, (2021)An approach based on Chernoff distance to sparse sensing for distributed detection., , and . FUSION, page 1-6. IEEE, (2017)Joint Optimization of Dimension Assignment and Compression in Distributed Estimation Fusion., , , , , and . IEEE Trans. Signal Process., 67 (9): 2453-2468 (2019)