Sentence examples for models are learned from inspiring English sources

Instead, we adopt CDPMs, where the models are learned from partially labelled images using Latent Support Vector Machines (LSVM).

Many previous approaches towards this end assume prior knowledge about the structure of activities, using which explicitly defined models are learned in a completely supervised manner.

Once generic deep models are learned from large-scale training sets, they can be applied to various crowd scenes without being trained again.

The article describes how such internal models are learned in the first place, either through individual experience or by observing and imitating other skilled agents, and how they are used in action planning and execution.

Our models are learned using the transfer learning trick by exploiting deep architectures that have been pre-trained on imageNet database, and therefore it requires very little annotation for its training.

Inspired by the machine learning (ML) theory through which the models are learned based on large amounts of observed data and the prediction is conducted without explicitly modeling space objects and space environment, the proposed ML approach integrates physics-based orbit prediction algorithms with a learning-based process that focuses on reducing the prediction errors.

The deformable models are learnt using the factorization theorem for nonrigid 3D models.

To this end, a set of instrument models are learnt from a training database and incorporated into a multichannel extension of the NMF algorithm.

Spectral mixing models were learned from the training dataset and were used to regularize the image local smoothness.

Their models were complex and the parameters of their models were learned iteratively via greedy search.

Three separate Gibbs-sampled topic models were learned at the following topic resolutions: T = 500, T = 1000 and T = 2000 topics.