Results 41 to 50 of about 5,150 (104)
Research on multi-modal sentiment feature learning of social media content [PDF]
, 2016 社交媒体已成为现代社会舆论交流和信息传递的主要平台。针对社交媒体的情感分析对于舆论监控、商业产品导向和股市预测等都具有重大应用价值。但社交媒体内容的多模态性（文本、图片等）让传统的单模态情感分析方法面临许多局限，多模态情感分析技术对跨媒体内容的理解与分析具有重大的理论价值。 多模态情感分析区别于单模态方法的关键问题在于，如何综合利用形态各异的多模态情感信息，来获取整体的情感倾向性，同时考虑单个模态本身在情感表达上的性质。针对该问题，利用社交媒体上的多模态内容在情感表达上所具有的关联性、抽象层级性的特点 ...
李凌霄
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Conservation Biology, Volume 38, Issue 3, June 2024.Abstract Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human‐mediated changes to land use and water use. We created a transferable conceptual framework to enable multiscale assessments of state resilience and early warnings ...
John T. Delaney, Danelle M. Larson
wiley +1 more source
Advance in Application of Deep Learning in Food Quality and Safety Detection [PDF]
With the improvement of people's living standards, consumers' demand for food quality and safety is growing. Traditional methods for detecting food quality and safety can no longer meet the demand for efficient, accurate and reliable detection. Therefore,
Juyang ZHAO +5 more
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Research on Face Detection Algorithm Based on Cascaded Convolutional Neural Networks [PDF]
, 2017 在人脸识别领域中，人脸检测是其中的一个重要环节，2001年Viola和Jones发明了VJ人脸检测算法，该算法的诞生使人脸检测能够得到实际应用，但对于人脸多角度、多光照、多姿态等问题，VJ人脸检测器表现不佳。DPM算法的引入较好解决了复杂情况下的人脸检测问题，但是该算法存在计算量大，前期人工标记成本大等问题。神经网络特别是卷积神经网络的发展和GPU编程的实现给图像处理、音频处理、视频处理等领域注入了新的活力。卷积神经网络（CNN）在人脸检测领域有着无可比拟的优点，比如自学习特征、较好适应复杂情况下人脸 ...
刘伟强
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Research on Environmental Sound Classification Based on Deep Learning [PDF]
, 2017 城市环境声音的自动分类，已经成为城市信息化进程中的一个关键点，是指通过计算机自动化的分类手段，针对不同的城市环境声音，如自然环境声音、家庭环境声音、道路环境声音等等，在具备背景噪音的情况下，来识别和分类出周围环境的状况。虽然目前环境声音分类领域的应用潜力巨大，但是效果却还不是特别理想，相对于语音识别和音乐检索这样的热点，环境声音的研究还有很多方面的工作可以进一步深化。 本文主要针对环境声音的分类问题，进行了相关的研究。在围绕分类的模型选择和有标记数据集匮乏两大问题上，分别提出了对应的解决方案 ...
冯冰
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Research on mimic decision method based on deep learning [PDF]
Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was ...
Bing HAO +4 more
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Application of Deep Learning in Food Safety Detection and Risk Early Warning [PDF]
The application of deep learning in food safety detection and risk early warning is becoming more and more extensive, thus providing new opportunities for improving food safety, quality control and authenticity identification. This paper first introduces
DING Haohan, WANG Long, HOU Haoke, XIE Zhenqi, HAN Yu, CUI Xiaohui
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Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol [PDF]
With the further development of nuclear disarmament and nuclear safeguards policies, future nuclear arms control agreements may limit all tactical nuclear warheads in the arsenal, as well as deployed and planned strategic nuclear warheads. Although there
LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei
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Research on Sentiment Annotation and Analysis of GIF videos in Social Network [PDF]
, 2016 近年来随着社交网络的快速发展，GIF视频正在占据日益重要的地位。据我们从新浪微博中获取到的数据，15.1%的微博中含有GIF视频内容，其中超过九成的GIF内容是用来表达发送者的情感。研究GIF视频的情感倾向性，不仅可以推动动态时序视觉内容的理解与分析，具有重要的理论意义，同时可以帮助政府或公司了解网民对舆论热点事件的态度，从而提供决策支持，具有实际的应用价值。 GIF视频的情感倾向性分析是一项很有挑战性的工作，其主要包括两个核心问题，第一个核心问题是如何确定哪些GIF视频中的概念语义需要被处理 ...
蔡政
core
Review of Deep Learning Applications in Spinal Image Segmentation [PDF]
Deep learning algorithms have the advantages of strong learning, strong adaptive, and unique nonlinear mapping abilities in spinal image segmentation.
Baihao JIANG, Jing LIU, Dawei QIU, Liang JIANG
core +1 more source