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.
Paper introduces TAP-Vid, a benchmark for tracking any point in videos.
Method tracks change-points in crypto-assets extremes.
Algorithm detects changes online using expert tracking.
This paper proposes a DGP approach with UCBs for point target tracking over WSNs.
BootsTAP uses real-world data to improve TAP tracking performance.
Noninjective monodromy found in polynomial critical point tracking.
One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles leave when they pass through a detector among a huge number of points, so-called hi…
New RL method improves financial index tracking accuracy.
The automatic reconstruction of three-dimensional particle tracks from Active Target Time Projection Chambers data can be a challenging task, especially in the presence of noise. In this article, we propose a non-parametric algorithm that is based on the idea of clustering point triplets instead of the original points.…
SoccerCPD detects tactical changes in soccer matches using spatiotemporal tracking data.
Passive investing can incur hidden costs due to market timing inefficiencies.
PiVoT improves real-time multi-object detection and tracking in clutter.
The study of random walks on hyperbolic spaces and Teichmüller spaces, proving central limit theorems and geodesic tracking.
EggNet reconstructs particle tracks from hits using evolving graph attention networks.
Paper solves tracking control for -flat systems using classical states.
New data-driven Cartan connection tracks complex vascular structures.
In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model consists of a series of state layers, where each state layer spatially characterizes the object silhouette at a particular point in time. The interact…
Classifies knots in the Poincaré sphere, using fixed points and folding automata.
A spiral unibike track emerges from a mathematical construction.
In this paper we develop the metric theory for the outer space of a free product of groups. This generalizes the theory of the outer space of a free group, and includes its relative versions. The outer space of a free product is made of -trees with possibly non-trivial vertex stabilisers. The strategies are the same…
One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles leave when they pass through a detector among a huge number of points, so-called hi…
Global results are proved about the way in which Boyland's forcing partial order organizes a set of braid types: those of periodic orbits of Smale's horseshoe map for which the associated train track is a star. This is a special case of a conjecture introduced in a previous paper, which claims that forcing organizes al…
A novel tracking algorithm models dynamic objects as ellipsoids with time-varying orientation.
A new clustering algorithm tracks satellite hotspot data for bushfire tracking.
A new method for distributed optimization with noisy function evaluations.
The paper studies the action of automorphisms on train tracks and finds that the set of minimally displaced points is co-compact.
Cascading chains of events are a salient feature of many real-world social, biological, and financial networks. In social networks, social reciprocity accounts for retaliations in gang interactions, proxy wars in nation-state conflicts, or Internet memes shared via social media. Neuron spikes stimulate or inhibit spike…
The model of a bicycle is a unit segment AB that can move in the plane so that it remains tangent to the trajectory of point A (the rear wheel is fixed on the bicycle frame); the same model describes the hatchet planimeter. The trajectory of the front wheel and the initial position of the bicycle uniquely determine its…
Fixed pseudo-Anosov homeomorphisms detect cinquefoil knot.
In this paper we present a new method for motion tracking of tumors in liver ultrasound image sequences. Our algorithm has two main steps. In the first step, we apply mean shift algorithm with multiple features to estimate the center of the target in each frame. Target in the first frame is defined using an ellipse. Ed…
We study the tracking of a trajectory for a nonholonomic system by recasting the problem as a constrained optimal control problem. The cost function is chosen to minimize the error in positions and velocities between the trajectory of a nonholonomic system and the desired reference trajectory, both evolving on the dist…
Improved tracking of tangled point sources using Riemannian metrics.
The study proves a theorem about subword complexity for free group automorphisms.
VRSGT algorithm reduces orthogonality constraints in decentralized optimization.
This paper describes a novel approach to change-point detection when the observed high-dimensional data may have missing elements. The performance of classical methods for change-point detection typically scales poorly with the dimensionality of the data, so that a large number of observations are collected after the t…
We assess cluster stability by trimming extreme points and tracking data range reduction.
AI system analyzes financial analyst recommendations and track records for portfolio construction.
RL approach for target tracking with unknown dynamics and sensor control.
This work uses SVM to identify track component failures in AC Track Circuits.
New train tracks for complex homeomorphisms found.
New method uses cluster shapes to improve track finding in particle collisions.
We are often interested in clustering objects that evolve over time and identifying solutions to the clustering problem for every time step. Evolutionary clustering provides insight into cluster evolution and temporal changes in cluster memberships while enabling performance superior to that achieved by independently c…
To address potential gaps noted in patient monitoring in the hospital, a novel patient behavior detection system using mmWave radar and deep convolution neural network (CNN), which supports the simultaneous recognition of multiple patients' behaviors in real-time, is proposed. In this study, we use an mmWave radar to t…
This paper optimizes object tracking on edge devices with small matrices.
Let $φ\in \mbox{Out}(F_n)$ be a free group outer automorphism that can be represented by an expanding, irreducible train-track map. The automorphism determines a free-by-cyclic group and a homomorphism . By work of Neumann, Bieri-Neumann-Strebel and Dowdall-Kapovi…
The efficiency of a modern economy depends on what we call the Value-Tracking Hypothesis: that market prices of key assets broadly track some underlying value. This can be expected if a sufficient weight of market participants are valuation-based traders, buying and selling an asset when its price is, respectively, bel…
We show that the subsurface projection of a train track splitting sequence is an unparameterized quasi-geodesic in the curve complex of the subsurface. For the proof we introduce induced tracks, efficient position, and wide curves. This result is an important step in the proof that the disk complex is Gromov hyperbolic…
Train track automata for fully irreducible elements in Out(F_r).