Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically a standard Gaussian ... in crowded scenes by synergistically integrating Variational ...

The dimension of the latent space is set to 2. The variational autoencoder with 4 hidden layers performed the best with high Spearman and Pearson coefficients and low RMSD. To further evaluate the ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...