IEEE

TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode

Abstract: Maritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of ...
Frontiers

Dynamic peer learning recommendations in e-learning using hybrid collaborative filtering and interaction-based clustering

1 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, India Introduction: ...
The Earth Institute Columbia University

E4620 Numerical Methods for Data Analysis

E4620 is typically taught once per year in the Fall semester. The information below is meant to provide a snapshot of the material covered. E4620 is intended to provide students with an introduction ...
IEEE

Distance-Based Logistic Matrix Factorization

Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...
Morningstar

Push Security Launches Phishing Detection Evasion Techniques Matrix to Help Security Teams Pinpoint Detection Gaps

New open source framework maps the latest generation of real-world phishing techniques, revealing how attackers bypass identity providers and evade traditional defenses BLACK HAT (Booth #2057) – Push ...
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...
Scientific Research Publishing

Ang, B. W. (1999). Decomposition Methodology in Energy Demand and Environmental Analysis. In J. C. J. M. van den Bergh (Ed.), Handbook of Environmental and Resource Economics ...

ABSTRACT: This paper introduces an integrated Conceptual Framework designed to examine the relationships between Energy, Economy, Environment, and Society (E-E-E-S) through the lens of ecological ...
Frontiers

Geochemical-process extraction and interpretation using matrix factorization: a framework for verifying effectiveness through forward modeling and inversion analysis

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...