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- research-articleAugust 2022
Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 1616–1624https://doi.org/10.1145/3534678.3539349Recent advances in deep learning have brought remarkable performance improvements in named entity recognition (NER), specifically in token-level classification problems. However, deep learning models often require a large amount of annotated data to ...
- research-articleMarch 2017
Subgradient based multiple-starting-point algorithm for non-smooth optimization of analog circuits
Starting from a set of starting points, the multiple-starting-point optimization searches the local optimums by gradient-guided local search. The global optimum is selected from these local optimums. The region-hit property of the multiple-starting-...
- ArticleSeptember 2014
A Novel Robust Wideband Beamformer with Frequency Invariance Constraints
IMCCC '14: Proceedings of the 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and ControlPages 1–5https://doi.org/10.1109/IMCCC.2014.9A novel RB-WC-FI-FB (robust worst-case frequency invariance forward-backward) wideband beam former is proposed in this paper. It is developed to improve the robustness against estimation errors of direction of arrival (DOA) and limited sample number, as ...
- research-articleNovember 2010
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing (TSP), Volume 58, Issue 11Pages 5914–5919https://doi.org/10.1109/TSP.2010.2058107In this correspondence, a novel robust adaptive beamformer is proposed based on the worst-case semi-definite programming (SDP). A recent paper has reported that a beamformer robust against large steering direction error can be constructed by using ...
- research-articleMarch 2010
Robust adaptive beamforming in partly calibrated sparse sensor arrays
IEEE Transactions on Signal Processing (TSP), Volume 58, Issue 3Pages 1661–1667https://doi.org/10.1109/TSP.2009.2037852Two new approaches to adaptive beamforming in sparse subarray-based partly calibrated sensor arrays are developed. Each subarray is assumed to be well calibrated, so that the steering vectors of all subarrays are exactly known. However, the ...
- research-articleJuly 2009
Analysis of coevolution for worst-case optimization
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computationPages 899–906https://doi.org/10.1145/1569901.1570024The problem of finding entities with the best worst-case performance across multiple scenarios arises in domains ranging from job shop scheduling to designing physical artifacts. In spite of previous successful applications of evolutionary computation ...
- research-articleJuly 2009
Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing (TSP), Volume 57, Issue 7Pages 2615–2628https://doi.org/10.1109/TSP.2009.2017004In this paper, novel robust adaptive beamformers are proposed with constraints on array magnitude response. With the transformation from the array output power and the magnitude response to linear functions of the autocorrelation sequence of the array ...
- articleMarch 2009
Pareto optimization of analog circuits considering variability
The trade-off between competing design objectives is often decided at the beginning of the analog sizing process by assigning weights to the design objectives. Architectural design, however, requires the knowledge of all possible optimal trade-offs of a ...