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Found 8 papers, 0 papers with code
Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning
Beamforming techniques are considered as essential parts to compensate the severe path loss in millimeter-wave (mmWave) communications by adopting large antenna arrays and formulating narrow beams to obtain satisfactory received powers.
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand
Models trainded with MMMPF can also generate desired quantiles to capture uncertainty and enable probabilistic planning for grid of the future.
Multi-Objective Personalized Product Retrieval in Taobao Search
These problems promote us to further strengthen the capabilities of our EBR model in both relevance estimation and personalized retrieval.
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Furthermore, once a neural network model is trained with MMMF, its inference speed is similar to that of the same model trained with traditional regression formulations, thus making MMMF a better alternative to existing regression-trained time series forecasting models if there is some available future information.
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar
Compared to traditional camera-based computer vision and imaging, radio imaging based on wireless sensing does not require lighting and is friendly to privacy.
Fast communication-efficient spectral clustering over distributed data
However, it is increasingly often that the data are located at a number of distributed sites, and one wishes to compute over all the data with low communication overhead.
K-nearest Neighbor Search by Random Projection Forests
Our theory can be used to refine the choice of random projections in the growth of trees, and experiments show that the effect is remarkable.
Automatic Objects Removal for Scene Completion
With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet.
