搜索结果: 1-15 共查到“工学 deep learning”相关记录36条 . 查询时间(0.046 秒)
美国奥本大学Shiwen Mao教授来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告(图)
美国 奥本大学 Shiwen Mao 深度学习 模型 信号 无线电地图
2024/2/4
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Condensation in deep learning
深度学习 凝结 神经网络
2023/4/28
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs(图)
GPU 流水线 大型图形 深度学习
2023/6/20
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:A novel deep learning approach for tourism volume forecasting with tourist search data
游客搜索数据 旅游量预测 深度学习方法
2023/5/8
浙江大学光电科学与工程学院郝翔课题组论文《Spectral Imaging with Deep Learning》发表于《Light:Science & Applications》封面(图)
光谱成像 光学滤光片 光谱编码
2023/3/10
2022年6月17日,浙江大学光电科学与工程学院郝翔课题组综述文章《Spectral imaging with deep learning》发表于《Light:Science&Applications》杂志第六期封面。该研究回顾了光谱成像技术应用深度学习的最新进展,对基于深度学习的光谱成像技术进行了梳理。研究对深度学习光谱成像的各种技术路线进行了原理阐述、研究总结,并整理了当前的光谱成像数据集、概...
Deep learning networks may prefer the human voice--as we do(图)
Deep learning networks prefer human voice
2021/4/23
The digital revolution is built on a foundation of binaries, invisible 1s and 0s called bits. The notion that computers prefer to "speak" in binary numbers is rarely questioned. According to new resea...
中国人民大学高瓴人工智能学院徐君教授出版外文著作《Deep Learning for Matching in Search and Recommendation》(图)
徐君教授;外文著作;语义匹配
2021/11/2
近日,中国人民大学高瓴人工智能学院徐君教授出版了外文著作《Deep Learning for Matching in Search and Recommendation》(中文译作:《搜索与推荐中的深度语义匹配》)。本书从语义匹配的角度广泛调研了搜索与推荐任务的解决方案,对现有流行的深度匹配模型进行了系统的分析和对比,为研究和开发搜索及推荐模型提供了一种新的研究视角和工具。中国科学技术大学教授何向...
Algorithm created by deep learning finds potential therapeutic targets throughout the human genome(图)
Algorithm created deep learning potential therapeutic targets throughout human genome
2020/8/14
Researchers at the New Jersey Institute of Technology and the Children's Hospital of Philadelphia have developed an algorithm through machine learning that helps predict sites of DNA methyla...
TOWARDS DEEP LEARNING FOR ARCHITECTURE: A MONUMENT RECOGNITION MOBILE APP
Artificial Intelligence Machine Learning Deep Learning Convolutional Neural Networks
2019/3/4
In recent years, the diffusion of large image datasets and an unprecedented computational power have boosted the development of a class of artificial intelligence (AI) algorithms referred to as deep l...
A COARSE-TO-FINE MODEL FOR AIRPLANE DETECTION FROM LARGE REMOTE SENSING IMAGES USING SALIENCY MODLE AND DEEP LEARNING
Airplane Detection Large-Scale Optical Remote Sensing Image Object of Interes Saliency Detection Single Neural Network
2018/5/15
High resolution remote sensing images are bearing the important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars. Most of time the problem...
DETECTING WATER BODIES IN LANDSAT8 OLI IMAGE USING DEEP LEARNING
Water body Landsat Multi-layer perceptron Deep learning Maximum likelihood
2018/5/14
Water body identifying is critical to climate change, water resources, ecosystem service and hydrological cycle. Multi-layer perceptron(MLP) is the popular and classic method under deep learning frame...
EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING
3-D space Camera calibration Target recognition Target tracking
2018/5/16
At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tra...
RESEARCH ON HIGH ACCURACY DETECTION OF RED TIDE HYPERSPECRRAL BASED ON DEEP LEARNING CNN
Red Tide CNN Hyperspectral Remote Sensing Glint
2018/5/14
Increasing frequency in red tide outbreaks has been reported around the world. It is of great concern due to not only their adverse effects on human health and marine organisms, but also their impacts...