Arc-Length Parameterized Interpolating Splines
An iterative algorithm for computing splines that interpolate a set of points while being parameterized by true arc length, rather than an arbitrary parameter.
My current work focuses on constructing interpolating splines parameterized by arc-length rather than an arbitrary parameter, using an iterative algorithm, and studying how and why that algorithm converges to the correct parameterization.
An iterative algorithm for computing splines that interpolate a set of points while being parameterized by true arc length, rather than an arbitrary parameter.
I'm now working on proving that this iterative algorithm converges, and ideally that its result is unique. It converges quickly in every case tested so far, but a formal proof remains an open problem.
Tested whether adding an initial filtering phase, ranking features by a Maximal Information Coefficient score before applying a genetic algorithm, improves multi-label feature selection compared to using the genetic algorithm alone. Evaluated results using MLKNN classification and statistical significance testing (Wilcoxon rank-sum).