Sentence examples for pattern recognition principles from inspiring English sources

Recently, the pattern recognition principles have come into prominence.

It selects the bands based on pattern recognition principles for classification tasks, that is, in this case the band selection is treated as a feature selection problem in pattern recognition, using the response of the chosen classifier combined with the SFFS strategy to select the subset of bands that are more relevant from the point of view of classification performance.

The kNN QSAR method employs the kNN pattern recognition principle and a variable selection procedure.

In this work, we report findings of an investigation of nanostructured sensing arrays for the detection of volatile organic compounds (VOCs) and nitro-aromatic compounds (NACs) and the data analysis based on pattern recognition using principle component analysis (PCA) and artificial neural networks (ANN) techniques.

Natural language, as a product of human cognition, offers compelling evidence that people are naturally inclined toward processing information using pattern recognition and similarity principles.

A pattern recognition tool of principle component analysis was used to determine the similarity of the andrographolide enriched extracts, in term of their chemical composition produced from the column chromatography at different ethanol concentrations (20 100%) as eluent.

The MCS algorithm as coded in the CDK [30] (CDKMCS) is based upon the common pattern recognition concept and the principle of Maximum Common Induced Subgraph (MCIS) [19].

But there is a growing suspicion that there are additional types of innate immune sensing mechanisms that are not based on pattern recognition but rather on other principles.

The lesion tracking software features a novel pattern recognition method based on the principles of machine learning [ 8] which enables automated detection of stable anatomical landmarks.

General principles of pattern recognition theory suggest that even greater specificity can be achieved by a quadratic discriminant classifier that inscribes more flexible boundaries in 10-dimensional DRA space.

We introduce a novel method for classification and mapping of landform elements from a DEM based on the principle of pattern recognition rather than differential geometry.