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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.

168,742 papers · 148 categories

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87175262349 · Jun 202019922001200920172026
48 results for compact objects

Paper proposes angular loss for better face recognition and object classification.

problem Improving intra-class compactness and preventing overfitting in face recognition and object classification.
method Angular loss function to maximize angular gradient, reducing overfitting and requiring only one adjustable constant.
result Our method outperforms other methods in accuracy, discriminative information, and time-efficiency.

DL/FBF improves GPSR solutions by selecting compact, generalising expressions.

problem Overfitting and structural bloat in symbolic regression with genetic programming.
method Description length (DL) and fractional Bayes factor (FBF) criteria for selecting compact, generalising expressions.
result DL/FBF post-selection improves test performance compared to AIC/BIC baseline.

Thirty years after the birth of foliations in the 1950's, André Haefliger has introduced a special property satisfied by holonomy pseudogroups of foliations on compact manifolds, called compact generation. Up to now, this is the only general property known about holonomy on compact manifolds. In this article, we give a…

2009-04-29abs ↗pdf ↗

We study locally compact contractive local groups, that is, locally compact local groups with a contractive pseudo-automorphism. We prove that if such an object is locally connected, then it is locally isomorphic to a Lie group. We also prove a related structure theorem for locally compact contractive local groups whic…

2009-09-24abs ↗pdf ↗

A new method for faster multi-objective optimization by evaluating objectives separately.

problem Finding the Pareto front of trade-offs between multiple objectives efficiently.
method Knowledge Gradient with decoupled evaluations, accounting for different costs.
result The method significantly outperforms existing approaches in terms of evaluation cost.

Deep neural networks have achieved impressive performance in many applications but their large number of parameters lead to significant computational and storage overheads. Several recent works attempt to mitigate these overheads by designing compact networks using pruning of connections. However, we observe that most …

2019-06-14abs ↗pdf ↗

We present an explicit construction of the basic bundle gerbes with connection over all connected compact simple Lie groups. These are geometric objects that appear naturally in the Lagrangian approach to the WZW conformal field theories. Our work extends the recent construction of E. Meinrenken \cite{Meinr} restricted…

2003-07-01abs ↗pdf ↗

In X-ray binary star systems consisting of a compact object that accretes material from an orbiting secondary star, there is no straightforward means to decide if the compact object is a black hole or a neutron star. To assist this classification, we develop a Bayesian statistical model that makes use of the fact that …

2015-07-13abs ↗pdf ↗

The classical Brody's theorem asserts the equivalence between two notions of hyperbolicity for compact complex spaces, one named after Kobayashi and one expressed in terms of lack of non constant holomorphic entire functions (compactness is only used to prove the harder implication). We extend this theorem to Deligne-M…

2012-01-12abs ↗pdf ↗

In this paper, we introduce the notion of maximal actions of compact tori on smooth manifolds and study compact connected complex manifolds equipped with maximal actions of compact tori. We give a complete classification of such manifolds, in terms of combinatorial objects, which are triples (Δ,h,G)(Δ, \mathfrak{h}, G) of n…

2013-02-04abs ↗pdf ↗

Technological development aims to produce generations of increasingly efficient robots able to perform complex tasks. This requires considerable efforts, from the scientific community, to find new algorithms that solve computer vision problems, such as object recognition. The diffusion of RGB-D cameras directed the stu…

2018-07-31abs ↗pdf ↗

Geometric approach to majorizing measures for polyhedra and general compact objects.

problem Understanding the relationship between a space and its convex hull in geometric measure theory.
method Geometric approach using covering number relationships and volume ratios.
result Established a method to evaluate covering number and volume ratios for various spaces.

Let G be a compact Lie group acting on a smooth manifold M. In this paper, we consider Meinrenken's G-equivariant bundle gerbe connections on M as objects in a 2-groupoid. We prove this 2-category is equivalent to the 2-groupoid of gerbe connections on the differential quotient stack associated to M, and isomorphism cl…

2017-09-18abs ↗pdf ↗

Study homology manifolds using spectral sheaves and spectral six functor formalism.

problem Characterize and understand homology manifolds through spectral sheaves.
method Adapt six functor formalism to spectral sheaves on locally compact Hausdorff spaces.
result Prove that compact ANR homology manifolds are Poincaré duality complexes.

The Loch Ness Monster admits many regular dessins d'enfants and different holomorphic structures.

problem Classical theory of dessins d'enfants on compact surfaces extended to non-compact surfaces.
method Study of infinite genus surfaces and their connections to Riemann surfaces.
result The Loch Ness monster admits infinitely many regular dessins d'enfants.

New polystability theory connects Calabi-Yau varieties to gravitational instantons.

problem Understanding the structure of Calabi-Yau manifolds and their metrics.
method Introducing a new concept of poly-stability and relating it to gravitational instantons.
result Polystability is equivalent to the existence of certain gravitational instantons.

We present a two-stage approach for learning dictionaries for object classification tasks based on the principle of information maximization. The proposed method seeks a dictionary that is compact, discriminative, and generative. In the first stage, dictionary atoms are selected from an initial dictionary by maximizing…

2012-08-17abs ↗pdf ↗

The paper studies HYM connections on stable vector bundles over Kähler manifolds.

problem Analyzing stability and convergence of Hermitian Yang-Mills connections.
method Semialgebraic decomposition of the Kähler cone into stability chambers.
result HYM connections converge to a stable HYM connection as polarisation converges.

Liouville domains have become central objects in symplectic and contact geometry. However, the auxiliary data they involve --- namely, Liouville forms --- and the non-compactness of their completions generate some inconvenience. The notion of ideal Liouville domains is designed to suppress these awkward aspects and to …

2017-08-29abs ↗pdf ↗

Classifies compact radio sources in the Galactic plane using machine learning.

problem Challenges in processing large volumes of radio continuum survey data.
method Produced a curated dataset of ~20,000 images, trained two classifiers: gradient-boosted decision trees and convolutional neural networks.
result High classification accuracy (F1-score>90%) for separating Galactic objects from the extragalactic background.

The paper explores low-dimensional solenoidal manifolds and their properties.

problem Characterizing and understanding solenoidal manifolds of dimensions 1, 2, and 3.
method Survey and new results about solenoidal manifolds, using theorems of A. Clark and S. Hurder.
result Topologically homogeneous, compact solenoidal manifolds are McCord solenoids and behave like laminated versions of compact manifolds.

Given an elliptic action of a compact Lie group GG on a co-oriented contact manifold (M,E)(M,E) one obtains two naturally associated objects: A GG-transversally elliptic operator $\dirac$, and an equivariant differential form with generalised coefficients J(E,X)\mathcal{J}(E,X) defined in terms of a choice of contact form o…

2007-12-14abs ↗pdf ↗

DFFL tackles federated learning with heterogeneous objectives and constraints.

problem Federated learning with clients having different objectives and feasible regions.
method Derived heterogeneity bounds for cost-vector distances and support-function/shape-distance terms. Lifted pointwise bounds to local-versus-federated excess-risk comparison.
result Federation is beneficial when the statistical advantage of pooling exceeds a client-specific heterogeneity penalty.

The classical Cartan's structural equations show in a compact way the relation between a connection and its curvature, and reveals their geometric interpretation in terms of moving frames. In order to study the mathematical properties of singularities, we need to study the geometry of manifolds endowed on the tangent b…

2011-11-02abs ↗pdf ↗

Let XX be a compact real analytic manifold, and let TXT^*X be its cotangent bundle. Let Sh(X)Sh(X) be the triangulated dg category of bounded, constructible complexes of sheaves on XX. In this paper, we develop a Fukaya AA_\infty-category Fuk(TX)Fuk(T^*X) whose objects are exact, not necessarily compact Lagrangian branes in…

2006-04-18abs ↗pdf ↗

In this paper we provide a \emph{global} investigation of the geometry of parallelizable manifolds (or absolute parallelism geometry) frequently used for application. We discuss the different linear connections and curvature tensors from a global point of view. We give an existence and uniqueness theorem for a remarkab…

2012-09-06abs ↗pdf ↗

We present several principal bundles of embeddings of compact manifolds (with or without boundary) whose base manifolds are nonlinear Grassmannians. We study their infinite dimensional differential manifold structure in the Fréchet category. This study is motivated by the occurrence of such objects in the geometric Lag…

2014-02-06abs ↗pdf ↗

Algorithm identifies Pareto optimal designs efficiently for noisy, multi-objective functions.

problem Optimizing multi-objective functions with noisy data and large design spaces.
method Adaptive discretization and tree-based approach to identify Pareto optimal designs.
result Algorithm identifies Pareto optimal designs with fewer evaluations than exhaustive search.

This paper shows how Hodge's theory of harmonic pp-sets (a discrete version of his theory of harmonic forms) allows a new approach to be taken to the problem of providing a combinatorial definition of the Pontrjagin classes of a compact manifold. This approach is then related to the author's definition of flag vectors…

1998-02-17abs ↗pdf ↗

This paper describes the connection between scattering matrices on conformally compact asymptotically Einstein manifolds and conformally invariant objects on their boundaries at infinity. The conformally invariant powers of the Laplacian arise as residues of the scattering matrix and Branson's Q-curvature in even dimen…

2001-09-14abs ↗pdf ↗

Defines renormalised energies for singular harmonic maps into compact manifolds.

problem Analyzing harmonic maps with singularities in planar domains.
method Introduces renormalised energies and synharmony to study singularities and minimising configurations.
result Renormalised energies are coercive and Lipschitz-continuous, and associated with minimising singular harmonic maps.