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Found 6 papers, 1 papers with code
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions
State-of-the-art methods are based on predefined anchor grids or heatmaps for ground truth targets.
Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization
Second, the Bayesian approach is presented, which, based on the derived empirical fading model, relates measured changes in the power of a multipath component to the location of the reflection point.
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
For the matrix normal model, all our bounds are minimax optimal up to logarithmic factors, and for the tensor normal model our bound for the largest factor and overall covariance matrix are minimax optimal up to constant factors provided there are enough samples for any estimator to obtain constant Frobenius error.
Polynomial time algorithms in invariant theory for torus actions
We also show how to efficiently find separating invariants for orbits, and how to compute systems of generating rational invariants for these actions (in contrast, for polynomial invariants the latter is known to be hard).
Data Structures and Algorithms Mathematical Physics Algebraic Geometry Mathematical Physics Representation Theory
Effective screening of medium-assisted Van der Waals interactions between embedded particles
The effect of an implicit medium on dispersive interactions of particle pairs is discussed and simple expressions for the correction relative to vacuum are derived.
Mesoscale and Nanoscale Physics Quantum Physics
Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes, Part II
In [1] we discussed how quantum gravity may be simulated using quantum devices and gave a specific proposal -- teleportation by size and the phenomenon of size-winding.
Quantum Physics High Energy Physics - Theory
