搜索结果: 1-14 共查到“人工智能 Deep Learning”相关记录14条 . 查询时间(0.125 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...
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
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
2023/6/20
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
2023/5/8
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 ...
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...
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
2018/6/4
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
2018/6/4
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...
2017年深度学习的实际应用专题会议（Special Session on Practical Applications of Deep Learning）
2017年 深度学习 实际应用 专题会议
2017/6/23
In the recent years, deep learning methods have emerged as a powerful machine learning method for many fields. Deep learning methods are different from all traditional approaches. They automatically l...
Rice U. scientists slash computations for ‘deep learning’
Rice U. scientists slash computations deep learning
2017/7/21
Rice University computer scientists have adapted a widely used technique for rapid data lookup to slash the amount of computation — and thus energy and time — required for deep learning, a computation...
2017计算机图像，视频和三维形状分析深度学习研讨会（Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS）
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
2017年ACM深度学习技术国际会议(ICDLT 2017) （2017 International Conference on Deep Learning Technologies）
2017年 ACM深度学习技术 国际会议
2017/1/10
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural ...
New tool for virtual and augmented reality uses ‘deep learning’
New tool virtual augmented deep learning
2016/7/4
Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles.I...