Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3020579
Abstract: Automatic and accurate thorax disease diagnosis in Chest X-ray (CXR) image plays an essential role in clinical assist analysis. However, due to its imaging noise regions and the similarity of visual features between diseases and… read more here.
Keywords: guided deep; region; knowledge guided; disease ... See more keywords
MsKAT: Multi-Scale Knowledge-Aware Transformer for Vehicle Re-Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3166463
Abstract: Existing vehicle re-identification (Re-ID) methods usually suffer from intra-instance discrepancy and inter-instance similarity. The key to solving this problem lies in filtering out identity-irrelevant interference and collecting identity-relevant vehicle details. In this paper, we aim… read more here.
Keywords: multi scale; knowledge guided; knowledge; inline formula ... See more keywords
Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3240195
Abstract: Deep learning-based models have been shown to outperform human beings in many computer vision tasks with massive available labeled training data in learning. However, humans have an amazing ability to easily recognize images of novel… read more here.
Keywords: network; transfer network; guided semantic; knowledge guided ... See more keywords
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3192550
Abstract: In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perform multiple local iterations in each communication round and then concurrently transmit their updated gradients… read more here.
Keywords: air; knowledge guided; transceiver design; guided learning ... See more keywords
Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistica Sinica"
DOI: 10.5705/ss.202020.0427
Abstract: Variable screening is a powerful and efficient tool for dimension reduction under ultrahigh dimensional settings. However, most existing methods overlook useful prior knowledge in specific applications. In this work, from a Bayesian modeling perspective, we… read more here.
Keywords: prior knowledge; knowledge guided; variable screening; high dimensional ... See more keywords