Stagewise learning for noisy k-ary preferences
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DOI: 10.1007/s10994-018-5716-2
Abstract: The aggregation of k-ary preferences is a novel ranking problem that plays an important role in several aspects of daily life, such as ordinal peer grading, online image-rating, meta-search and online product recommendation. Meanwhile, crowdsourcing… read more here.
Keywords: aggregation; learning noisy; ary preferences; stagewise learning ... See more keywords
Learning From Noisy Labels for MIMO Detection With One-Bit ADCs
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DOI: 10.1109/lwc.2022.3230403
Abstract: This letter presents a data detection method for multiple-input multiple-output systems with one-bit analog-to-digital converters. The basic idea is to learn the likelihood function of the system from training samples. To this end, a training… read more here.
Keywords: noisy labels; one bit; data detection; learning noisy ... See more keywords
Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition
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DOI: 10.1109/tmm.2021.3134156
Abstract: Manually labeling fine-grained datasetsis laborious and typically requires domain-specific expert knowledge. Conversely, a vast amount of web data is relatively easy to obtain with nearly no human effort. Therefore, learning from noisy web data for… read more here.
Keywords: web images; noisy web; learning noisy; web ... See more keywords