Jun 21, 2018 · This paper introduces a novel target tracking framework that includes both kernel-based tracking and a non-parametric active contour model.

Jun 21, 2018 · By combining both a kernel-based tracking and a non-parametric level set method, a novel framework for target tracking is proposed in this ...

The paper considers the problem of tracking an unknown and time-varying number of unlabeled moving objects using multiple unordered measurements.

We study nonparametric contextual bandits where Lipschitz mean reward functions may change over time. We first establish the minimax dynamic regret rate in.

May 13, 2019 · A flexible, novel, nonparametric model for the excitation function of a Wold process is proposed for modelling the conditional intensities of network edges.

A nonparametric learning solution framework is proposed for the global nonlinear robust output regulation problem. We first extend the assumption that the ...

With a nonparametric model, for instance, we can gain an infinite amount of information about the model parameters without any of it being relevant to ...

Feb 14, 2009 · In this review we discuss the role of hierarchical modeling in Bayesian non- parametrics, focusing on models in which the infinite-dimensional ...

y Active Contour For Distribution Tracking y Generalizations of Active Contour Models y References. Page 21. Snakes y A very flexible non-parametric contour ...

This paper focuses on two issues related to this problem: First, we construct a statistical representation of the scene background that supports sensitive ...