Matthew Thorpe

activity

20152023

most citedPoisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

29 citations · 79 across the 18 of their papers we have counts for

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Showing 2015 · math.STShow all

3 papers · 2 filters

math.ST2015

Pointwise Convergence in Probability of General Smoothing Splines

Matthew Thorpe, Adam M. Johansen

Establishing the convergence of splines can be cast as a variational problem which is amenable to a $Γ$ -convergence approach. We consider the case in which the regularization coeff…

math.ST2015

Convergence and Rates for Fixed-Interval Multiple-Track Smoothing Using $k$ -Means Type Optimization

Matthew Thorpe, Adam M. Johansen

We address the task of estimating multiple trajectories from unlabeled data. This problem arises in many settings, one could think of the construction of maps of transport networks…

math.ST2015

Convergence of the $k$ -Means Minimization Problem using $Γ$ -Convergence

Matthew Thorpe, Florian Theil, Adam M. Johansen +1

The $k$ -means method is an iterative clustering algorithm which associates each observation with one of $k$ clusters. It traditionally employs cluster centers in the same space as…

Pointwise Convergence in Probability of General Smoothing Splines

Convergence and Rates for Fixed-Interval Multiple-Track Smoothing Using k-Means Type Optimization

Convergence of the k-Means Minimization Problem using Γ-Convergence

Convergence and Rates for Fixed-Interval Multiple-Track Smoothing Using $k$ -Means Type Optimization

Convergence of the $k$ -Means Minimization Problem using $Γ$ -Convergence