Two Types of Geometric Jensen-Shannon Divergences. [PDF]
Nielsen F.
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A novel collaborative self-supervised learning method for radiomic data. [PDF]
Li Z +5 more
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Discrimination between Gaussian process models: active learning and static constructions. [PDF]
Yousefi E +4 more
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A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. [PDF]
Komori O, Eguchi S.
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Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys-Fisher-Rao Center and the Gauss-Bregman Inductive Center. [PDF]
Nielsen F.
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A Multi-Layer Feature Fusion Method for Few-Shot Image Classification. [PDF]
Gomes JC, Borges LAB, Borges DL.
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Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman Divergence. [PDF]
Wang Y, Zhang L, Si T, Bishop G, Gong H.
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On Representations of Divergence Measures and Related Quantities in Exponential Families. [PDF]
Bedbur S, Kamps U.
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High-dimensional model-assisted inference for treatment effects with multi-valued treatments. [PDF]
Xu W, Tan Z.
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On the Jensen-Shannon Symmetrization of Distances Relying on Abstract Means. [PDF]
Nielsen F.
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