搜索结果: 1-15 共查到“deep learning”相关记录27条 . 查询时间(0.102 秒)
Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their n...
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
2023/3/27
2023年3月24日上午，IEEE Fellow、美国奥本大学Shiwen Mao教授应邀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。本次专题报告详细地介绍了室内定位的相关内容，为南京邮电大学通信与信息工程学院师生的相关科研工作开拓了新思路。本次报告由通信与信息工程学院周亮院长主持，学院逾三百名...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Condensation in deep learning
深度学习 凝结 神经网络
2022/12/8
Why do neural networks (NN) that look so complex usually generalize well? To understand this problem, we find some simple implicit regularizations during training NNs. The first is the frequency princ...
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
2022/11/29
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
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
2022/11/22
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
Ask a smart home device for the weather forecast, and it takes several seconds for the device to respond. One reason this latency occurs is because connected devices don’t have enough memory or power ...
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
2022/6/21
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
2021/4/22
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
2020/9/18
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
2020/8/13
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...
EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING
3-D space Camera calibration Target recognition Target tracking
2018/4/30
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...
APPLICATION OF DEEP LEARNING IN GLOBELAND30-2010 PRODUCT REFINEMENT
GlobeLand30-2010 Deep learning Google Earth Training sample set High resolution images
2018/4/30
GlobeLand30, as one of the best Global Land Cover (GLC) product at 30-m resolution, has been widely used in many research fields. Due to the significant spectral confusion among different land cover t...
DEEP LEARNING AND IMAGE PROCESSING FOR AUTOMATED CRACK DETECTION AND DEFECT MEASUREMENT IN UNDERGROUND STRUCTURES
Deep Learning Automated Crack Detection Photographic Tunnelling Surveys
2018/3/30
This work presents the combination of Deep-Learning (DL) and image processing to produce an automated cracks recognition and defect measurement tool for civil structures. The authors focus on tunnel c...
EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/3/30
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING
image matching deep convolutional neural networks auto-encoders cultural heritage
2018/3/30
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fai...