In machine learning, feature learning or representation learning is a set of techniques that allows a system to automatically discover the representations...

In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. Choosing informative, discriminating...

dictionary learning. In unsupervised feature learning, features are learned with unlabeled input data. Examples include dictionary learning, independent...

Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to find...

Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective set...

Normalization (machine learning) Normalization (statistics) Standard score fMLLR, Feature space Maximum Likelihood Linear Regression...

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...

type of data, such as text (typically represented as feature vectors) or images. Multimodal learning is different from combining unimodal models trained...

for machine learning, an expert may have to apply appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods...

corner or blob Feature (machine learning), in statistics: individual measurable properties of the phenomena being observed Software feature, a distinguishing...