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Found 6 papers, 2 papers with code
Identity information based on human magnetocardiography signals
We have developed an individual identification system based on magnetocardiography (MCG) signals captured using optically pumped magnetometers (OPMs).
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
Stock trend classification remains a fundamental yet challenging task, owing to the intricate time-evolving dynamics between and within stocks.
Exploiting Rich Syntax for Better Knowledge Base Question Answering
Previous works for encoding questions mainly focus on the word sequences, but seldom consider the information from syntactic trees. In this paper, we propose an approach to learn syntax-based representations for KBQA.
Semi-Global Shape-aware Network
In this paper, we propose a Semi-Global Shape-aware Network (SGSNet) considering both feature similarity and proximity for preserving object shapes when modeling long-range dependencies.
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
Each of the 2D image points is also called a query local feature when performing the 2D-3D point correspondences.
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
With the development of convolutional neural networks (CNNs) in recent years, the network structure has become more and more complex and varied, and has achieved very good results in pattern recognition, image classification, object detection and tracking.
