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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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2468 · Feb 201919922001200920182026
48 results for perimeter surveillance

Paper finds formulas for minimizing perimeter in special spaces, proving key dimensions and existence.

problem Understanding the structure of perimeter minimizing sets in specific metric spaces.
method Established a monotonicity formula and proved rigidity for perimeter minimizers in RCD(0,N) spaces.
result Sharp Hausdorff dimension estimates for singular strata and existence of blow-down cones.

New method tackles anomaly detection in video surveillance using continual learning.

problem Challenges in continual learning for high-dimensional applications like video surveillance.
method Transfer learning and continual learning for online anomaly detection.
result Significantly reduces training complexity and continual learning from recent data.

The paper examines perimeter minimizing sets in curved spaces and finds conditions for their boundary to match a specific structure.

problem Conditions for perimeter minimizing sets in curved spaces to have a boundary matching a product structure.
method Analyzes Riemannian manifolds with non-negative sectional curvature and quadratic volume growth.
result The boundary of a perimeter minimizing set in such manifolds is identified with a slice in the product structure.

Proof shows smooth minimal hypersurfaces for perimeter-minimizing sets in low-dimensional Riemannian manifolds.

problem Finding sets of least perimeter in Riemannian manifolds.
method Short proof using de Giorgi and Miranda's tradition in flat space.
result Reduced boundary of least perimeter sets is a smooth minimal hypersurface in low dimensions.

The paper studies properties of RCD(K,N)\mathrm{RCD}(K,N) spaces and their boundaries.

problem Understanding the boundary structure and unit normal on RCD(K,N)\mathrm{RCD}(K,N) spaces.
method Proves concentration of boundary measure, discusses localization of unit normal, and develops tools for perimeter minimizers.
result Proves that the boundary measure of sets with finite perimeter is concentrated on the nn-regular set Rn\mathcal{R}_n.

Perimeter minimizers in curved spaces have a singular set no more than 5 dimensions.

problem Understanding the structure of minimizers in spaces with bounded Ricci curvature.
method Analysis of non-collapsed Ricci limit spaces with two-sided curvature bounds.
result The Hausdorff dimension of the singular set is at most \(N-5\).

Improved bio-surveillance through automated document classification.

problem Tracking infectious diseases across global news alerts.
method Recurrent neural networks, TF-IDF, Naive Bayes, logistic regression.
result 97% recall and 93.3% accuracy in bio-surveillance event classification.

The generalized soap bubble problem seeks the least perimeter way to enclose and separate n given volumes in R^m. We study the possible configurations for perimeter minimizing bubble complexes enclosing more than two regions. We prove that perimeter minimizing planar bubble complexes with equal pressure regions and wit…

1998-08-11abs ↗pdf ↗

Classifiers and beamforming algorithms improved audio surveillance detection accuracy.

problem Detecting surveillance sound events with high accuracy and efficiency.
method Evaluated seven classifiers and two beamforming algorithms; used data augmentation and tested with varying SNR levels.
result SVM and Delay-and-Sum (DaS) combination achieved the highest accuracy (86.0%), but had high computational cost.

Study rectifiability of finite perimeter sets in RCD(K,N) spaces.

problem Understanding sets of finite perimeter in RCD(K,N) spaces.
method Developed a Gauss-Green integration by parts formula and proved rectifiability of the reduced boundary.
result Rectifiability of the reduced boundary for sets of finite perimeter over RCD(K,N) spaces.

New algorithm rSVDdpd improves robustness and scalability for video surveillance background modeling.

problem Camera tampering and noisy videos make background separation challenging.
method Introduces rSVDdpd, a robust singular value decomposition technique for scalable video surveillance.
result Demonstrates superior performance on benchmark and real-life datasets.

Almost perimeter-minimizing boundaries in plentiful groups can be approximated by Lipschitz graphs.

problem Regularity of boundaries in plentiful groups.
method Lipschitz approximation of boundaries.
result Boundary of almost minimizers can be approximated by intrinsic Lipschitz graphs.

Online anomaly detection in surveillance videos with false alarm rate bounds.

problem Lack of theoretical performance analysis and online decision making in anomaly detection.
method Proposes an online anomaly detection method with asymptotic bounds on false alarm rate.
result Demonstrates effectiveness on publicly available data sets, outperforming state-of-the-art algorithms.

DUPLE tackles cross-deployment recognition in fiber-optic perimeter security with meta-learning.

problem Cross-deployment recognition challenges in fiber-optic perimeter security due to label scarcity and distribution shifts.
method DUPLE employs statistically guided meta-learning to enhance recognition robustness across unseen deployments.
result DUPLE consistently outperforms traditional and meta-learning baselines in cross-deployment DFOS benchmarks.

A lens cluster minimizes perimeter in the plane with given area constraints.

problem Minimizing perimeter in the plane with given area constraints.
method Analyzing lens clusters consisting of circular arcs with specific geometric properties.
result Lens clusters are local minimizers of the total perimeter functional.

Study finds unique critical points for anisotropic surface energy.

problem Finding unique critical points for anisotropic surface energy.
method Proving finite unions of disjoint open Wulff shapes are volume-constrained critical points.
result Finite unions of disjoint open Wulff shapes are the only critical points.

The paper explores connections between perimeter, area, and visual angle of convex sets.

problem Understanding geometric properties of convex sets through visual angle and related measurements.
method Establishing universal formulas and characterizing convex sets of constant width.
result Crofton's formula is the unique universal formula relating visual angle, length, and area.

Study fractional perimeter asymptotics on Riemannian manifolds as ss approaches 0.

problem Asymptotics of fractional perimeter on Riemannian manifolds.
method Analysis of fractional Laplacian and existence of bounded harmonic functions.
result Asymptotics of fractional ss-perimeter on all complete manifolds.

New rectifiability criteria for finite-perimeter sets in Carnot groups.

problem Rectifiability of finite-perimeter sets in Carnot groups.
method Introducing a new notion of rectifiability based on cone properties and studying semigroups generated by horizontal half-spaces.
result Finite-perimeter subsets in Carnot groups can be covered by countably many subsets with cone properties, leading to countable rectifiability with respect to intrinsic Lipschitz graphs.

The study proves properties of optimizers for sets maximizing perimeter under fixed volume constraints.

problem Existence and properties of bounded convex sets in Riemannian manifolds maximizing perimeter under fixed volume constraints.
method Analyzes the properties of optimizers for sets maximizing perimeter under fixed volume constraints in Euclidean, spherical, and hyperbolic spaces.
result Proves that there are no C2C^{2}-maximisers of perimeter with prescribed volume and that the smallest principal curvature is constant in regions where the set is of class C2C^{2}.

Study proves existence of regions minimizing perimeter in specific geometric structures.

problem Existence of isoperimetric regions in sub-Finsler nilpotent groups.
method Analyzes nilpotent Lie groups with a bracket-generating distribution and asymmetric norms.
result Proves existence of minimizers of perimeter under volume constraint.

The hypercube's perimeter is significantly larger than expected near half volume.

problem Understanding the isoperimetric profile of the hypercube.
method Analytical proof of perimeter bounds and comparison to Gaussian isoperimetric profile.
result The isoperimetric profile of the hypercube does not converge to the Gaussian profile as dimension increases.

Study finds critical points in perimeter functional for fixed volume sets.

problem Finding critical points in perimeter functional for sets of fixed volume.
method Utilizes Mazurwoski--Zhou techniques and new Cacciopoli set connectedness results.
result Constructs smooth almost embedded hypersurfaces with non-zero constant mean curvature.

Supervised learning improves disease outbreak detection accuracy.

problem Early detection of infectious disease outbreaks to protect public health.
method Developed a supervised learning approach based on hidden Markov models for disease outbreak detection.
result Reduces false positive rate by up to 50% while maintaining sensitivity.

Study optimizes perimeter in convex domains with anisotropic constraints.

problem Optimizing perimeter in convex domains with anisotropic constraints.
method Analytical properties, topological features, and geometric measure theory results.
result Sharp isoperimetric inequalities and existence of minimizers.

We consider isotropic non lower semicontinuous weighted perimeter functionals defined on partitions of domains in Rn\mathbb{R}^n. Besides identifying a condition on the structure of the domain which ensures the existence of minimizing configurations, we describe the structure of such minima, as well as their regularity…

2015-05-04abs ↗pdf ↗