Create a Basis object and initialize its attributes, the
original points, number of points, the type of basis,
parameters for the basis, and the fitting error resulting from
the approximation of the original points with this basis.
Return a classification for the specified feature set, or throw
a runtime exception if the given feature set does not have the
same number of features as the training examples.
This package provides data structures such as feature sets,
training sets, as well as a classification framework for facilitating
pattern classification tasks.
This package provides the utilities for decomposing symbols into simpler, perceptually-salient structures, line segments (L) and elliptical segments (E).
For every 2 consecutive points in a stroke, fill in with evenly
spaced points until the distance in between any 2 consecutive
points no longer exceeds the threshold distance.
The result of a recognizer's computations: a set of mutually
exclusive interpretations of a stroke or a set of strokes,
expressed by Recognition objects as typed data with associated
values.
A recognizer responds to changes in strokes and returns recognition
sets (interpretations of the stroke or of some or all of the scene)
based on these changes.
Create a training application window with the specified frame
title, and the training examples are saved in a file named
username.sml where username is as specified.
Computes the width, height, and centroid of the shape, and call
zer_mom(double[] xvals, double[] yvals, int npoints, double ww,
double hh, double cx, double cy, int n, int m)