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Scaling audio-visual learning without labels(图)     扩展视听学习  多模态技术  人工智能       font style='font-size:12px;'> 2023/6/20
Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-...
As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up.
With almost half of the developing world turning ‘urban’, it becomes a major challenge for the local self-governments to assure availability and accessibility of basic infrastructural facilities to ci...
Forests provide many goods, Ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors ...
With the availability of massive trajectory data, it is highly valuable to reveal their activity information for many domains such as understanding the functionality of urban regions. This article uti...
New scaling law predicts how wheels drive over sand     New scaling law predicts  wheels drive  over sand       font style='font-size:12px;'> 2017/7/21
When engineers design a new aircraft, they carry out much of the initial testing not on full-sized jets but on model planes that have been scaled down to fit inside a wind tunnel. In this more managea...
The physical based Li-Strahler geometric-optical model can be inverted to retrieve forest canopy structural variables. One of the main input variables of the inverted model is the fractional component...
This paper presents a new remotely sensed solution for monitoring the recovery of a large disaster-affected area. It exploits the powerful data grid and computing grid technologies developed on GEO (G...
There are a great deal of obvious issues about effects of scale and scaling conversion that need to be solved for agricultural condition monitoring using remote sensing. In this paper, a serial of res...
Spatial relationship between vegetation and rainfall in Central Kazakhstan has been modelled using Normalized Difference Vegetation Index (NDVI) and rainfall data from weather stations. The modelling ...
The problem addressed is this: most environmental issues require context to solve them. Is the ocean getting warmer? Is the desert growing? Is the forest declining? Solution: measure the temperature...
In Part I we characterized the optimal throughput-delay trade-off in static wireless networks as D(n) = Θ(nT(n)), where D(n) and T(n) are the average packet delay and throughput in a network of n node...
Gupta and Kumar (2000) introduced a random model to study throughput scaling in a wireless network with static nodes, and showed that the throughput per source-destination pair is Θ 1/√n log n. Gross...
We consider a class of weighted gradient methods for distributed resource allocation over a network. Each node of the network is associated with a local variable and a convex cost function; the sum of...
Curvelets provide a new multiresolution representation with several features that set them apart from existing representations such as wavelets, multiwavelets, steerable pyramids, and so on. They are ...

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