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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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12 results for Honeycombing

We explore visual representations of tilings corresponding to Schläfli symbols. In three dimensions, we call these tilings "honeycombs". Schläfli symbols encode, in a very efficient way, regular tilings of spherical, euclidean and hyperbolic spaces in all dimensions. In three dimensions, there are only a finite number …

2015-11-08abs ↗pdf ↗

The paper analyzes the emergence of almost-honeycomb structures in low-energy planar clusters.

problem Understanding the formation of shapes resembling honeycombs in low-energy configurations.
method Detailed quantitative estimates and a revision of the global isoperimetric principle for honeycomb clusters.
result The majority of chambers in low-energy planar clusters are generalized hexagons, closely resembling regular hexagons.

Project aims to diagnose and track IPF disease using deep learning.

problem Diagnosing and tracking IPF disease in lung images.
method Developed a deep learning model for identifying honeycombing and ground glass patterns in HRCT lung images.
result Deep learning model achieved high accuracy in identifying specific lung regions.

We prove sharp pointwise decay estimates for critical Dirac equations on Rn\mathbb{R}^n with n2n\geq 2. They appear for instance in the study of critical Dirac equations on compact spin manifolds, describing blow-up profiles, and as effective equations in honeycomb structures. For the latter case, we find excited state…

2018-09-05abs ↗pdf ↗

It is known that every ribbon category with unimodality allows symmetrized 6j6j-symbols with full tetrahedral symmetries while a spherical category does not in general. We give an explicit counterexample for this, namely the category E\mathcal{E}. We define the mirror conjugate symmetry of 6j6j-symbols instead and sho…

2009-07-13abs ↗pdf ↗

Paper proposes a weak supervision technique for CNN semantic segmentation of lung diseases using partially annotated data.

problem Creating annotated datasets for semantic segmentation of lung diseases is laborious and time-consuming.
method Proposes a weak supervision technique that utilizes partially annotated datasets to improve CNN semantic segmentation accuracy.
result Significantly improved segmentation accuracy using partially annotated datasets.

3D self-affine tiles with specific digit sets have boundary homeomorphic to a 2-sphere.

problem Characterizing 3D self-affine tiles with collinear digit sets whose boundary is a sphere.
method Using lattice tiling combinatorics and topological properties of spheres, the paper characterizes such tiles.
result The boundary of these tiles is homeomorphic to a 2-sphere under certain conditions.