arxiv.org/abs/2501.03294v3
It is widely accepted that the states of any quantum system are vectors in a Hilbert space. Not everyone agrees, however. The recent paper ``The unphysicality of Hilbert spaces'' by Carcassi, Calderón and Aidala is a thoughtful dissection of the mat...
arxiv.org/abs/2307.09247v3
In this paper, we consider all possible variants of Choi matrices of linear maps, and show that they are determined by non-degenerate bilinear forms on the domain space. We will do this in the setting of finite dimensional vector spaces. In case of m...
arxiv.org/abs/2507.21791v1
Numerous applications, such as Krylov subspace solvers, make extensive use of the block classical Gram-Schmidt (BCGS) algorithm and its reorthogonalized variants for orthogonalizing a set of vectors. For large-scale problems in distributed memory set...
arxiv.org/abs/2405.01298v3
Block classical Gram-Schmidt (BCGS) is commonly used for orthogonalizing a set of vectors $X$ in distributed computing environments due to its favorable communication properties relative to other orthogonalization approaches, such as modified Gram-Sc...
arxiv.org/abs/1504.02887v1
We examine the dependence structure of finite block-maxima of multivariate distributions. We provide a closed form expression for the copula density of the vector of the block-maxima. Further, we show how partial derivatives of three-dimensional vine...
win-vector.com/2024/12/19/kelly-cant-fail/
Points: 393 | Comments: 120 | Author: jmount
arxiv.org/abs/2601.16782v1
In biomechanical modeling, the representation of ligament attachments is crucial for a realistic simulation of the forces acting between the vertebrae. These forces are typically modeled as vectors connecting ligament landmarks on adjacent vertebrae,...
arxiv.org/abs/1609.02489v1
We present a method to determine Fashion DNA, coordinate vectors locating fashion items in an abstract space. Our approach is based on a deep neural network architecture that ingests curated article information such as tags and images, and is trained...
arxiv.org/abs/1710.01820v1
In this paper, we explore an efficient variant of convolutional sparse coding with unit norm code vectors where reconstruction quality is evaluated using an inner product (cosine distance). To use these codes for discriminative classification, we des...
github.com/cduck/drawsvg
Moving to https://tangled.org/cduck.me/drawsvg/ Programmatically generate SVG (vector) images, animations, and interactive Jupyter widgets (⭐ 676)
github.com/MikesWei/CesiumVectorTile
Cesium VectorTileImageryProvider支持小数据量的geojson、shape文件 矢量 动态切片,实现贴地 (⭐ 445)
arxiv.org/abs/2412.11437v1
The process $Λ_b \rightarrow Λ_c \ell^- \barν_\ell$ serves as a tool for exploring new physics, with contributions from scalar, vector, and tensor hadronic currents in various models. These form factors are derived from the quark model or lattice...
arxiv.org/abs/2010.00210v1
The $Λ_b \rightarrow Λ_c \ell^- \barν_\ell$ process has been discussed in the literatures as a probe for new physics. This process receives contributions in new physics models from scalar, vector, and tensor hadronic currents. The form factors of...
arxiv.org/abs/2105.12414v1
We propose a framework for early action recognition and anticipation by correlating past features with the future using three novel similarity measures called Jaccard vector similarity, Jaccard cross-correlation and Jaccard Frobenius inner product ov...
arxiv.org/abs/2312.14585v1
We explore the consequences of gluonic hot spots inside the proton for the initial eccentricities in a proton-nucleus collision, and the constraints on the parameters describing these hot spots from coherent and incoherent exclusive vector meson prod...
arxiv.org/abs/2311.05033v2
We study the problem of lossless feature selection for a $d$-dimensional feature vector $X=(X^{(1)},\dots ,X^{(d)})$ and label $Y$ for binary classification as well as nonparametric regression. For an index set $S\subset \{1,\dots ,d\}$, consider the...
arxiv.org/abs/2204.02777v1
RDF2vec is a knowledge graph embedding mechanism which first extracts sequences from knowledge graphs by performing random walks, then feeds those into the word embedding algorithm word2vec for computing vector representations for entities. In this p...
github.com/PushoDev/ContVect
Control de Vectores (⭐ 2)
arxiv.org/abs/1705.06338v1
The main idea of this paper is to represent shopping items through vectors because these vectors act as the base for building em- beddings for customers and shopping carts. Also, these vectors are input to the mathematical models that act as either a...
arxiv.org/abs/1101.4333v1
We study the peeling of Dirac and Maxwell fields on a Schwarzschild background following the approach developed by the authors in Mason-Nicolas 2009 for the wave equation. The method combines a conformal compactification with vector field techniques...