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Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding

Author(s): Li Z; Luo Z; Bouguila N; Su W; Fan W;

Multi-view clustering has gained significant attention due to its ability to integrate data from diverse perspectives, frequently outperforming single-view approaches. However, existing methods often assume a Gaussian distribution within the latent embedding space, which can degrade performance when handling high-dimensional data or data with complex, non ...

Article GUID: 40664160


Joint enhancement of automatic chest x-ray diagnosis and radiological gaze prediction with multistage cooperative learning

Author(s): Qiu Z; Rivaz H; Xiao Y;

Background: As visual inspection is an inherent process during radiological screening, the associated eye gaze data can provide valuable insights into relevant clinical decision processes and facilitate computer-assisted diagnosis. However, the relevant techniques are still under-explored. Purpose: With deep learning becoming the state-of-the-art for com ...

Article GUID: 40665596


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