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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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56112168224 · Jun 202019922001200920172026
48 results for cover detection

Improved cover detection in music datasets with novel triplet loss.

problem Challenging task of automatically detecting covers in audio datasets.
method Convolutional neural network mapping melodic features to embeddings, training to minimize cover distance and maximize non-cover distance.
result New prototypical triplet loss improves accuracy for large datasets and live songs.

We show that the only irreducible three-manifold with positive first Betti number and Heegaard Floer homology of rank two is homeomorphic to zero-framed surgery on the trefoil. We classify links whose branched double cover gives rise to this manifold. Together with a spectral sequence from Khovanov homology to the Floe…

2009-06-25abs ↗pdf ↗

We study a module structure on Khovanov homology, which we show is natural under the Ozsvath-Szabo spectral sequence to the Floer homology of the branched double cover. As an application, we show that this module structure detects trivial links. A key ingredient of our proof is that the H_1/Torsion module structure on …

2012-04-04abs ↗pdf ↗

We use virtual knot theory to detect the non-invertibility of some classical links in S3\mathbb{S}^3. These links appear in the study of virtual covers. Briefly, a virtual cover associates a virtual knot υ\upsilon to a knot KK in a 33-manifold NN, under certain hypotheses on KK and NN. Virtual covers of links in …

2014-05-23abs ↗pdf ↗

Researchers study chirality in a specific type of torus-covering link.

problem Determining chirality in a specific type of torus-covering link of degree 3.
method Investigates invariants like triple linking numbers, Fox p-colorings, and quandle cocycle invariants.
result Determines the quandle cocycle invariant for S3(a,b)\mathcal{S}_3(a,b) associated with tri-colorings.

We present a novel active learning algorithm for community detection on networks. Our proposed algorithm uses a Maximal Expected Model Change (MEMC) criterion for querying network nodes label assignments. MEMC detects nodes that maximally change the community assignment likelihood model following a query. Our method is…

2018-01-11abs ↗pdf ↗

Probabilistic models often have parameters that can be translated, scaled, permuted, or otherwise transformed without changing the model. These symmetries can lead to strong correlation and multimodality in the posterior distribution over the model's parameters, which can pose challenges both for performing inference a…

2013-12-19abs ↗pdf ↗

Globally irreducible nodes (i.e. nodes whose branches belong to the same irreducible component) have mild effects on the most common topological invariants of an algebraic curve. In other words, adding a globally irreducible node (simple nodal degeneration) to a curve should not change them a lot. In this paper we stud…

2004-11-15abs ↗pdf ↗

Automatic cover detection -- the task of finding in an audio database all the covers of one or several query tracks -- has long been seen as a challenging theoretical problem in the MIR community and as an acute practical problem for authors and composers societies. Original algorithms proposed for this task have prove…

2019-07-03abs ↗pdf ↗

By using double branched covers, we prove that there is a 1-1 correspondence between the set of knotoids in the 2-sphere, up to orientation reversion and rotation, and knots with a strong inversion, up to conjugacy. This correspondence allows us to study knotoids through tools and invariants coming from knot theory. In…

2018-11-22abs ↗pdf ↗

We detect the backbone of the weighted bipartite network of the Japanese credit market relationships. The backbone is detected by adapting a general method used in the investigation of weighted networks. With this approach we detect a backbone that is statistically validated against a null hypothesis of uniform diversi…

2015-11-21abs ↗pdf ↗

Students hiring ghostwriters to write their assignments is an increasing problem in educational institutions all over the world, with companies selling these services as a product. In this work, we develop automatic techniques with special focus on detecting such ghostwriting in high school assignments. This is done by…

2019-06-04abs ↗pdf ↗

3-manifolds with similar completions have matching slopes and polynomials.

problem Matching slopes and polynomials in cusped hyperbolic 3-manifolds.
method Prove similarity of profinite completions leads to matching AA-polynomials and boundary slopes.
result Strongly detected boundary slopes match between manifolds with similar completions.

This review covers learning under concept drift, including detection, understanding, and adaptation.

problem Unforeseeable changes in data distribution over time impact machine learning performance.
method Reviews and analyzes methodologies and techniques for concept drift detection, understanding, and adaptation.
result Establishes a framework for learning under concept drift with three main components.

We give a necessary, and in some cases sufficient, condition for sliceness inside the family of pretzel knots P(p1,...,pn)P (p_1,...,p_n) with one pip_i even. The three stranded case yields two interesting families of examples: the first consists of knots for which the non-sliceness is detected by the Alexander polynomial while …

2013-09-02abs ↗pdf ↗

The main theorem of this article provides sufficient conditions for a degree dd finite cover MM' of a hyperbolic 3-manifold MM to be a surface-bundle. Let FF be an embedded, closed and orientable surface of genus gg, close to a minimal surface in the cover MM', splitting MM' into a disjoint union of qq handlebo…

2009-09-29abs ↗pdf ↗

New statistical test for change-point detection using relative entropy.

problem Offline change-point detection using divergence metrics.
method Study of empirical relative entropy distributions, derivation of approximations, introduction of new Berry-Esseen bounds.
result Theoretical and practical validation of relative entropy for change-point detection.

We consider the closed orbit structure of generic gradient flows of Morse closed 1-forms. The torsion of a chain homotopy equivalence between the Novikov complex and the completed simplicial chain complex of the universal cover detects the eta function of the flow. We extend this result to arbitrary Morse closed 1-form…

2000-09-06abs ↗pdf ↗

GNNs robustness in community detection is studied with various perturbations.

problem Understanding GNNs robustness in community detection tasks.
method Systematic computational evaluation of six GNN architectures on synthetic and real-world networks.
result Supervised GNNs achieve higher baseline accuracy, while DMoN shows stronger resilience to perturbations.

There is a small number of case studies of automatic land cover classification on the coastal area. Here, I test extraction of seagrass beds, sandy area, oyster farming rafts at Mangoku-ura Lagoon, Miyagi, Japan by comparing manual tracing, simple image segmentation, and image transformation using deep learning. The re…

2019-09-06abs ↗pdf ↗

Bayesian neural networks improve reliability in multimedia forensics.

problem Challenges with out-of-distribution data in multimedia authentication.
method Proposes Bayesian neural networks (BNN) for forensic tasks.
result BNNs provide distributions for better reliability and out-of-distribution detection.

New research shows non-bottlenecked autoencoders can outperform bottlenecked ones for anomaly detection.

problem The necessity of a bottleneck in autoencoders for anomaly detection.
method Investigated two ways to remove bottlenecks: overparameterising the latent layer and introducing skip connections. Carried out extensive experiments on various AE types and datasets.
result Non-bottlenecked autoencoders can outperform bottlenecked ones, improving anomaly detection performance.

Let X4X^4 and Y4Y^4 be smooth manifolds and f:XYf: X\to Y a branched cover with branching set BB. Classically, if BB is smoothly embedded in YY, the signature σ(X)σ(X) can be computed from data about YY, BB and the local degrees of ff. When ff is an irregular dihedral cover and BYB\subset Y smoothly embedded away fr…

2019-01-17abs ↗pdf ↗

Paper proposes a new method to detect out-of-distribution samples.

problem Detecting out-of-distribution samples for neural network classifiers.
method Generates effective OOD samples using a manifold learning network and trains an additional classifier.
result Proposed method consistently performs better than existing classifiers on MNIST and Fashion-MNIST datasets.

We define a norm on the homology of a foliated manifold, which refines and majorizes the usual Gromov norm on homology. This norm depends in an upper semi-continuous way on the underlying foliation, in the geometric topology, and can therefore be used to study the question of which foliations arise as geometric limits …

2000-07-19abs ↗pdf ↗

Let MKM_K be the 2-fold branched cover of a knot KinK in S^3.If. If H_1(M_K) = {\bf Z}_3 \oplus {\bf Z}_{3^{2i}} \oplus Gwhere3doesnotdividetheorderof where 3 does not divide the order of Gthen then K$ is not of order 4 in the concordance group. This obstruction detects infinite new families of knots that represent elements of order 4 in the algebra…

2009-07-31abs ↗pdf ↗

A new landmark sampling method improves TDA performance on biomedical data.

problem Improving landmark samplers for pseudometric spaces with varying density and multiplicities.
method Proposes 'lastfirst' procedure based on ranked distances, proving landmarks have desired properties.
result lastfirst outperforms maxmin on homology detection tasks and comparable on prediction tasks.

SVMs improve forest fire detection accuracy on challenging datasets.

problem Rapid and accurate detection of forest fires.
method Training SVMs on labeled fire image datasets, focusing on data preprocessing, feature extraction, and model training.
result SVMs enhance detection accuracy on complex datasets, revealing key parameters affecting performance.

CoCAI uses copulas for accurate multivariate time-series forecasting and anomaly detection.

problem Accurate multivariate time-series forecasting and robust anomaly detection.
method Copula-based conformal prediction for multivariate time-series analysis.
result CoCAI provides statistically valid predictive regions and robust anomaly scores.