IEEE

Polynomial Phase Signal Denoising via Sparse Representations Over a SMAF-Based Dictionary Learning Algorithm

Abstract: In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. Our approach is based on sparse representation using a trained ...
IEEE

Active Multikernel Sparse Representation for Synthetic Aperture Radar Automatic Target Recognition

Abstract: Multikernel sparse representation (SR) algorithms have made much progress in synthetic aperture radar automatic target recognition (SAR ATR) tasks. These algorithms usually combine all the ...
GitHub

A minimal Rust library for creating sparse vector representations using the BM25 algorithm. These vectors can be efficiently stored in vector databases like Qdrant for keyword ...

BM25 is a probabilistic ranking algorithm that calculates relevance scores between queries and documents based on term frequency and inverse document frequency. This library's implementation produces ...
GitHub

MATLAB Programming – Advanced Technical Computing Environment

MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...
techxplore

Algorithm based on LLMs doubles lossless data compression rates

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...
Scientific Research Publishing

Gibbs, N.E., Poole, Jr., W.G. and Stockmeyer, P.K. (1976) An Algorithm for Reducing the Bandwidth and Profile of a Sparse Matrix. SIAM Journal on Numerical Analysis, 13, 236-250.

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
Frontiers

Sparse connectivity enables efficient information processing in cortex-like artificial neural networks

Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse ...
C&EN

MAG-SOLex Molecular Representation: A Methodology for Handling Complex Molecules in Algorithms

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Different molecular representations exist to provide visual and mathematical means to ...
marktechpost

Meta AI Introduces MR.Q: A Model-Free Reinforcement Learning Algorithm with Model-Based Representations for Enhanced Generalization

Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...
C&EN

Nondirect-Product Local Diabatic Representation with Smolyak Sparse Grids

Institute of Natural Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China Institute of Natural Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China Department of ...
Scientific Research Publishing

Farah Ayiesya, Z., Samad, A. and Fahmi, M.D. (2020) A Review of Crossover Methods and Problem Representation of Genetic Algorithm in Recent Engineering Applications ...

ABSTRACT: Game theory is explored via a maze application where combinatorial optimization occurs with the objective of traversing through a defined maze with an aim to enhance decision support and ...