github.com/bluss/arrayvec
bluss/arrayvec
A vector with a fixed capacity. (Rust) (⭐ 854)
arxiv.org/abs/1108.0391v3
The Channel Capacity Increases with Power
It is proved that for memoryless vector channels, maximizing the mutual information over all source distributions with a certain average power or over the larger set of source distributions with upperbounded average power yields the same channel capa...
arxiv.org/abs/1901.03893v3
MIMO Capacity with Reduced RF Chains
This paper presents a remarkable advance for the understanding of MIMO capacity limits with insufficient RF chains. The capacity is characterized by the maximum mutual information given any vector inputs subject to not only an average power constrain...
arxiv.org/abs/1403.3461v1
Aspects of Favorable Propagation in Massive MIMO
Favorable propagation, defined as mutual orthogonality among the vector-valued channels to the terminals, is one of the key properties of the radio channel that is exploited in Massive MIMO. However, there has been little work that studies this topic...
arxiv.org/abs/gr-qc/0212016v1
Killing Tensors from Conformal Killing Vectors
Some years ago Koutras presented a method of constructing a conformal Killing tensor from a pair of orthogonal conformal Killing vectors. When the vector associated with the conformal Killing tensor is a gradient, a Killing tensor (in general irred...
arxiv.org/abs/1801.02210v2
Inconsistency between Linearized Thomas-Fermi Approximation and Electron-Ionized…
We show that by computing the electron-impurity scattering rate at the first order via Fermi's golden rule, and assuming that the localized impurity potential is of Yukawa form, one obtains a wave vector transfer distribution which is inconsistent wi...
arxiv.org/abs/1412.8340v1
On the Smallest Eigenvalue of General correlated Gaussian Matrices
This paper investigates the behaviour of the spectrum of generally correlated Gaussian random matrices whose columns are zero-mean independent vectors but have different correlations, under the specific regime where the number of their columns and th...
arxiv.org/abs/1802.09555v2
Involutive categories, colored $\ast$-operads and quantum field theory
Involutive category theory provides a flexible framework to describe involutive structures on algebraic objects, such as anti-linear involutions on complex vector spaces. Motivated by the prominent role of involutions in quantum (field) theory, we de...
en.wikipedia.org/wiki/X86-64
X86-64 - Wikipedia
instructions in 64-bit mode. While the older x87 FPU and MMX registers are still available, they are generally superseded by a set of sixteen 128-bit vector
arxiv.org/abs/2109.11249v2
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
Neural network implementations are known to be vulnerable to physical attack vectors such as fault injection attacks. As of now, these attacks were only utilized during the inference phase with the intention to cause a misclassification. In this work...
arxiv.org/abs/1908.09364v2
Adversarial Edit Attacks for Tree Data
Many machine learning models can be attacked with adversarial examples, i.e. inputs close to correctly classified examples that are classified incorrectly. However, most research on adversarial attacks to date is limited to vectorial data, in particu...
arxiv.org/abs/2008.09882v1
VAR estimators using binary measurements
In this paper, two novel algorithms to estimate a Gaussian Vector Autoregressive (VAR) model from 1-bit measurements are introduced. They are based on the Yule-Walker scheme modified to account for quantisation. The scalar case has been studied befor...
en.wikipedia.org/wiki/Vector_autoregression
Vector autoregression - Wikipedia
autoregression (VAR) is a statistical model used to capture the relationship between multiple quantities as they change over time. VAR is a type of stochastic
arxiv.org/abs/2309.14019v2
On a class of strong valid inequalities for the connected matching polytope
We identify a family of $O(|E(G)|^2)$ nontrivial facets of the connected matching polytope of a graph $G$, that is, the convex hull of incidence vectors of matchings in $G$ whose covered vertices induce a connected subgraph. Accompanying software to...
arxiv.org/abs/1909.08528v2
k-Relevance Vectors: Considering Relevancy Beside Nearness
This study combines two different learning paradigms, k-nearest neighbor (k-NN) rule, as memory-based learning paradigm and relevance vector machines (RVM), as statistical learning paradigm. This combination is performed in kernel space and is called...
arxiv.org/abs/2505.09859v1
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema…
The ability to learn new visual concepts from limited examples is a hallmark of human cognition. While traditional category learning models represent each example as an unstructured feature vector, compositional concept learning is thought to depend...
arxiv.org/abs/2405.04271v1
Generating Feature Vectors from Phonetic Transcriptions in Cross-Linguistic Data…
When comparing speech sounds across languages, scholars often make use of feature representations of individual sounds in order to determine fine-grained sound similarities. Although binary feature systems for large numbers of speech sounds have been...
github.com/textvec/textvec
textvec/textvec
Text vectorization tool to outperform TFIDF for classification tasks (⭐ 197)
github.com/toji/gl-matrix
toji/gl-matrix
Javascript Matrix and Vector library for High Performance WebGL apps (⭐ 5656)
arxiv.org/abs/2004.04928v3
Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue Pro…
Consider the optimal subspace expansion problem for the matrix eigenvalue problem $Ax=λx$: Which vector $w$ in the current subspace $\mathcal{V}$, after multiplied by $A$, provides an optimal subspace expansion for approximating a desired eigenvecto...