Results 21 to 30 of about 16,430 (195)
Zhejiang Daxue xuebao. Lixue ban, 2023 基于POI大数据，采用最邻近距离分析、核密度估计、辛普森多样性指数以及地理探测器模型等空间数据计量方法，量化分析了浙江省乡村旅游产业空间布局特征、混合活力以及影响因素。结果表明：（1）浙江省乡村旅游产业整体呈现“两大核心区、多个增长极”的空间集聚特征；（2）浙江省乡村旅游产业发展水平区域差异仍然显著，北部乡村旅游产业活力明显高于南部；（3）浙江省乡村旅游产业布局受经济条件影响显著，受交通条件影响最弱；双因素交互作用的影响均高于单因素作用，并产生双因子增强与非线性增强两种效应 ...
葛丹东(GE Dandong) +2 more
doaj +1 more source
Data Preprocessing Method for Video Action Recognition Depth Models [PDF]
Video preprocessing operations, mainly including video frame sampling and data augmentation, are essential methods to improving the performance of deep video models in action recognition, and they have recently received increased attention. In this study,
Fengmin AN, Bingbing ZHANG, Wei DONG, Jianxin ZHANG
core +1 more source
Self-supervised speech representation learning based on positive sample comparison and masking reconstruction [PDF]
, 2022 To solve the problem that existing contrastive prediction based self-supervised speech representation learning methods need to construct a large number of negative samples, and their performance depends on large training batches, requiring a lot of ...
Dan QU +4 more
core +1 more source
Document-Level Event Detection Method Based on Information Aggregation and Data Augmentation [PDF]
Event detection is a key task in the field of natural language processing, aiming to identify event trigger words and correctly classify their event types.
TAN Lijun, HU Yanli, CAO Jianwei, TAN Zhen
core +1 more source
在问题导向的教学中培训思辨能力---以网络大数据挖掘教学为例
现代教育论坛, 2020 大数据是当代信息社会发展的主要特点。高校开设网络大数据挖掘课程，将提高学校和学生的适应能力与竞争力。在互联网大数据挖掘教学中，依照这门学科的内在逻辑，探索以问题为导向的教学方法，将极大的提高学生的思辨能力，培养学生的学习兴趣和增强学习效果。本文介绍了该课程的教学环节，以问题导向的教学方法及教学效果。
飞 李
semanticscholar +1 more source
Image Data Augmentation Method for Random Channel Perturbation [PDF]
The simulation of object occlusion strategies in data augmentation sets all the pixels in the randomly cropped region of the input image to zero, which erases the effective texture features and leads to poor network generalization.
JIANG Wentao, LIU Yuwei, ZHANG Shengchong
core +1 more source
现代教育论坛, 2020 大数据时代，随着全球经济和城市化发展进程的加快，全球生态自调节能力的减弱，频发的各类突发事件造成的人员伤亡、经济损失和社会暴乱正不断地降低城市系统的承受能力，影响着城市的可持续发展。在当前形势下，传统的城市应急管理模式在应对各种不可预测的突发事件的新问题上显得力不从心，捉襟见肘。如何借助大数据技术，转变传统的应急管理模式，增强城市应对突发事件的能力，保障城市的健康发展，从而促进城市系统的可持续发展，不仅是全世界各国城市管理的核心，也是全世界亟待解决的热点问题。
远惠 张
semanticscholar +1 more source
Research on Fourier Augmented Unbiased Cross-Domain Object Detection [PDF]
The main purpose of unbiased cross-domain object detection is to utilize the knowledge of the source domain to the maximum extent through knowledge distillation, and reduce the cross-domain gap of the model through domain adaptation.
WANG Bing, XU Pei, ZHANG Xingpeng
core +1 more source
财经与管理, 2020 作为信息时代一项重要的计算机网络技术，大数据这一技术当前已对社会多个领域产生了广泛而深刻的影响。大数据背景下，企业人力资源管理模式迎来创新发展机遇，企业应重视把握机遇开展人力资源招聘活动模式创新，实现大数据与人力资源招聘的深度融合，以此改善人力资源招聘成效，切实提升整体人才质量。论文主要对企业在实现大数据与人力资源招聘结合方面存在的不足进行分析，探讨企业有效应用大数据技术增强人力资源招聘实效性的具体策略，旨在提供具备一定参考意义的借鉴。
哲 孙
semanticscholar +1 more source
A Few‑Shot Learning Algorithm for Defect Image Generation and Data Augmentation Based on DID‑AugGAN [PDF]
To address the issues of low quality， lack of realism， and poor diversity in defect images generated by generative adversarial network （GAN） under small-sample conditions， this paper proposes a defect image generation algorithm， named defect image data ...
DENG Yafeng +3 more
core +7 more sources