PATTERN ANALYSIS WITH SCALE CLASSIFICATION

Large-scale analysis of human alternative protein isoforms: pattern classification and correlation with subcellular localization signals

We investigated human alternative protein isoforms of >2600 genes based on full-length cDNA clones and SwissProt. We classified the isoforms and examined their co-occurrence for each gene. Further, we investigated potential relationships between these changes and differential subcellular localization. The two most abundant patterns were the one with different C-terminal regions and the one with...

Pattern classification by convex analysis

A useful discriminant vector for pattern classification is one that maximizes the minimum separation of discriminant function values for two pattern classes. This optimality criterion can prove valuable in many situations because it emphasizes the class elements that are most difficult to classify. A method for computing this discriminant vector by quadratic programming is derived. The resultin...

Pattern classification and scene analysis

Multidimensional Texture Analysis for Unsupervised Pattern Classification

Pattern classification with genetic algorithms

A method is proposed for finding decision boundaries, approximated by piecewise linear segments, for the classification of patterns in R 2, using an elitist model of a genetic algorithm. It involves the generation and placement of a set of lines (represented by strings) in the feature space that yields minimum misclassification. The effectiveness of the algorithm is demonstrated, for different ...