Hersh Vakharia

Hersh Vakharia

Software Engineer at Microsoft

Publications

Bi-capacity Choquet Integral for Sensor Fusion with Label Uncertainty

Published in FUZZ-IEEE, 2024

This paper proposes a novel Choquet integral-based fusion framework, named Bi-MIChI, which uses bi-capacities to represent the interactions between pairs of subsets of the input sensor sources on a bi-polar scale. This allows for extended non-linear interactions between the sensor sources and can lead to interesting fusion results.

Recommended citation: H. Vakharia and X. Du, "Bi-Capacity Choquet Integral for Sensor Fusion with Label Uncertainty," 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Yokohama, Japan, 2024, pp. 1-10, doi: 10.1109/FUZZ-IEEE60900.2024.10611865. https://arxiv.org/abs/2409.03212

Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty

Published in IGARSS 2023, 2023

Previously, we developed a Multiple Instance Multi-Resolution Fusion (MIMRF) framework that addresses label uncertainty for fusion, but it can be slow to train due to the large search space for the fuzzy measures used to integrate sensor data sources. We propose a new method based on binary fuzzy measures, which reduces the search space and significantly improves the efficiency of the MIMRF framework.

Recommended citation: H. Vakharia and X. Du, "Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 6326-6329, doi: 10.1109/IGARSS52108.2023.10282851. https://arxiv.org/abs/2402.05045