Results 31 to 40 of about 944,650 (244)
Weight metamorphosis of varifolds and the LDDMM-Fisher-Rao metric
This paper introduces and studies a metamorphosis framework for geometric measures known as varifolds, which extends the diffeomorphic registration model for objects such as curves, surfaces and measures by complementing diffeomorphic deformations with a transformation process on the varifold weights.
Hsi-Wei Hsieh, Nicolas Charon
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Tumor heterogeneity is a crucial area of cancer research wherein inter- and intra-tumor differences are investigated to assess and monitor disease development and progression, especially in cancer. The proliferation of imaging and linked genomic data has
Abhijoy Saha +9 more
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Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
We study the relationship between geometry and capacity measures for deep neural networks from an invariance viewpoint. We introduce a new notion of capacity --- the Fisher-Rao norm --- that possesses desirable invariance properties and is motivated by Information Geometry. We discover an analytical characterization of the new capacity measure, through
Liang, T +3 more
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Geometry of the Fisher–Rao metric on the space of smooth densities on a compact manifold [PDF]
AbstractIt is known that on a closed manifold of dimension greater than one, every smooth weak Riemannian metric on the space of smooth positive densities that is invariant under the action of the diffeomorphism group, is of the form urn:x-wiley:0025584X:media:mana201600523:mana201600523-math-0001for some smooth functions of the total volume . Here we
Martins Bruveris, Peter W. Michor
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A JKO SPLITTING SCHEME FOR KANTOROVICH-FISHER-RAO GRADIENT FLOWS
International audienceIn this article we set up a splitting variant of the JKO scheme in order to handle gradient flows with respect to the Kantorovich-Fisher-Rao metric , recently introduced and defined on the space of positive Radon measure with ...
Monsaingeon, Leonard, Gallouët, Thomas
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Intrinsic Losses Based on Information Geometry and Their Applications
One main interest of information geometry is to study the properties of statistical models that do not depend on the coordinate systems or model parametrization; thus, it may serve as an analytic tool for intrinsic inference in statistics. In this paper,
Yao Rong, Mengjiao Tang, Jie Zhou
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The purpose of this article is the development and application of discrete differential geometry methods for digital image analysis within the framework of Topological Data Analysis (TDA). The proposed approach consists of two stages.
Lyailya Karimova +3 more
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Active Phase of Nickel Electrocatalysts Driving Alkaline Hydrogen Evolution
Using depth‐resolved and operando spectroscopic measurements coupled with electrochemical mass spectrometry, the authors uncover the critical role of sub‐surface oxidised species in increasing the activity and durability of Ni‐based cathodes for hydrogen evolution.
Yifeng Wang +17 more
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Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis
Microglia replacement by bone marrow transplantation (Mr BMT) enables systemic replacement of tissue‐resident macrophages. Despite persistent macrophage and tissue remodeling across multiple organs, core biological functions and innate immune responses remain preserved, supporting long‐term maintenance of organismal homeostasis and the therapeutic ...
Yufei Xu +17 more
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Channel-Aware Adaptive Quantization Method for Source Localization in Wireless Sensor Networks
This paper considers the problem of source localization using quantized observations in wireless sensor networks where, due to bandwidth constraint, each sensor's observation is usually quantized into one bit of information.
Guiyun Liu +4 more
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