A spatial–temporal Convolutional Neural Network is designed to automatically extract spatial–temporal features of the crowd . • The performance of anomaly detection is improved when the analysis is concentrated on the dynamic regions only.
Read moreWhat is grouped time series?
Grouped time series involve more general aggregation structures than hierarchical time series . With grouped time series, the structure does not naturally disaggregate in a unique hierarchical manner, and often the disaggregating factors are both nested and crossed.
Read moreWhat is N Beats?
N-beats is a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers . The architecture has a number of desirable properties, being interpretable, applicable without modification to a wide array of target domains, and fast to train.
Read moreWhat is multiple time series?
Multiple time series is just that: Multiple series instead of a single series . Multivariate time series is usually contrasted with univariate time series, where each observation at a time t is a vector of values instead of a single value.
Read moreWhat is differentiable architecture search?
Differentiable Architecture Search (DART) is a method for efficient architecture search . The search space is made continuous so that the architecture can be optimized with respect to its validation set performance through gradient descent.
Read moreWhat is multivariate time series?
A Multivariate Time Series consist of more than one time-dependent variable and each variable depends not only on its past values but also has some dependency on other variables .
Read moreHow do I connect my ML to Flutter?
On-device ML with TFLite models in Flutter apps
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