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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...
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
A team of researchers from the University of California, Berkeley, the University of California, Davis and the Texas Advanced Computing Center (TACC) published the results of an effort to harness the ...
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 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...
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...

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