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Found 6 papers, 0 papers with code
基于情感增强非参数模型的社交媒体观点聚类(A Sentiment Enhanced Nonparametric Model for Social Media Opinion Clustering)
“本文旨在使用文本聚类技术, 将社交媒体文本根据用户主张的观点汇总, 直观呈现网民群体所持有的不同立场。针对社交媒体文本模式复杂与情感丰富等特点, 本文提出使用情感分布增强方法改进现有的非参数短文本聚类算法, 以高斯分布建模文本情感, 捕获文本情感特征的同时能够自动确定聚类簇数量并实现观点聚类。在公开数据集上的实验显示, 该方法在多项聚类指标上取得了超越现有模型的聚类表现, 并在主观性较强的数据集中具有更显著的优势。”
Diagnosis Of Takotsubo Syndrome By Robust Feature Selection From The Complex Latent Space Of DL-based Segmentation Network
However, directly using classification or segmentation models on medical to learn latent features opt out robust feature selection and may lead to overfitting.
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation
Diffusion models have shown impressive performance for image generation, often times outperforming other generative models.
Learning Compact Appearance Representation for Video-based Person Re-Identification
This paper presents a novel approach for video-based person re-identification using multiple Convolutional Neural Networks (CNNs).
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification
Pedestrian re-identification is a difficult problem due to the large variations in a person's appearance caused by different poses and viewpoints, illumination changes, and occlusions.
Equitability of Dependence Measure
Measuring dependence between two random variables is very important, and critical in many applied areas such as variable selection, brain network analysis.
