Sentence examples for learning feature from inspiring English sources

Moreover, the derived PI controller combines the ease of tuning with the learning feature from past processes, which is the base of Iterative Learning Control ILCC).

For example, Scherer et al. have given the conclusion that a max pooling operation is superior for learning feature from image-like data [10].

Models are created via the algorithm web service, which supports different types of algorithms (e.g. supervised learning, feature selection, descriptor calculation, and data cleanup).

In this work, we propose a novel supervised hashing method for scalable face image retrieval, i.e., Deep Hashing based on Classification and Quantization errors (DHCQ), by simultaneously learning feature representations of images, hash codes and classifiers.

The major contributions of this article are: 1. a new, deterministic localization methodology that does not rely on solving any sophisticated inverse dispersion problem and is an alternative to the stochastic localization methodology presented in (Locke and Paschalidis 2013);   2. a novel sensor placement methodology that stems from a machine learning feature selection procedure; and   3.

Thirdly, we apply a conventional machine learning feature selection to the initial set of attributes.

Unsupervised learning can also be used for automatically learning features for the data.

Recently, Convolutional Neural Networks (CNNs) have shown great ability of learning features and attained remarkable performance.

Finally, human-like performance is obtained with learning features in full-sized and high-resolution images.

In recent years, learning features from unlabeled data using unsupervised feature learning and deep learning approaches have achieved superior performance in solving many computer vision problems [22 25].

Learning such invariant features is an ongoing major goal in pattern recognition (for example learning features that are invariant to the face orientation in a face recognition task).