IEEE

A Gradient Vector Self-Learning Network for Infrared Small Target Detection

Abstract: Infrared small target detection (IRSTD) is challenging due to low target-background contrast and small target size, leading to missed detections and false alarms (Fas). To address these ...
IEEE

Gradient-Aware Loss Function for Improved Learning in Speech Enhancement

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...
SiliconANGLE

Oracle adds AI capabilities to core database and launches a lakehouse platform

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...
EDN

Field analyzers gain vector functions

Anritsu’s Site Master cable and antenna analyzers are now available with optional vector network analyzer (VNA) and vector voltmeter (VVM) capabilities. These additions extend their use to field ...
GitHub

Root-finding methods for both univariate, scalar-valued functions and multivariate, vector-valued functions.

Please see https://docs.rs/rootfinder. Licensed under either of Apache License, Version 2.0 or MIT license at your option. Unless you explicitly state otherwise, any ...
Scientific Research Publishing

Zhu, W., Song, Y. and Xiao, Y. (2022) Robust Support Vector Machine Classifier with Truncated Loss Function by Gradient Algorithm.

ABSTRACT: In this paper, we modify the Bregman APGs (BAPGs) method proposed in (Wang, L, et al.) for solving the support vector machine problem with truncated loss (HTPSVM) given in (Zhu, W, et al.), ...