Introduction: A 2D concentric rings trajectory is inherently centric-ordered, provides a smooth weighting in k-space, and enables shorter scan times [1]. Due to these properties, it is well-suited for magnetizationprepared imaging. Extensions of this trajectory for 3D imaging include: 3D stack-of-rings [2] and 3D interleaved concentric cylinders [3,4]. 3D stack-of-rings trajectory directly inhe...

It is well known that hidden Markov models (HMMs) can only exploit the time-dependence in the speech process in a limited way. Parametric trajectory models have been proposed to exploit this time-dependency. However, parametric trajectory modeling methods are unable to take advantage of efficient HMM training and recognition methods. This paper describes a new speech recognition technique that ...

The need to query spatiotemporal databases that store trajectories of moving objects arises in a broad range of application domains. In this work, we focus on in-memory distance threshold queries which return all moving objects that are found within a given distance d of a fixed or moving object over a time interval. We propose algorithms to solve such queries efficiently, using an R-tree index...

The purpose of this study is to establish a control method to make borehole trajectory smoother. Considering that the complexity of rotary steerable drilling trajectory control and uncertainty of underground work, analysis of the deficiencies for the traditional trajectory control and the rotary steerable drilling trajectory deviation vector control theory, introduced the concept of "trend Angl...

Solution of the formation guidance in structured static environments is presented in this paper. It is assumed that high level planner is available, which generates collision free trajectory for the leader robot. Leader robot is forced to track generated trajectory, while followers’ trajectories are generated based on the trajectory realized by the real leader. Real environments contain large n...

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In this note we describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distribution of mappings of trajectories of a policy into some metric space, and some other fixed distribution (which may, for example, come from another policy). Different policies induce different distributions, so given an underlying metric, the Wasse...

Humans navigate crowded spaces such as a university campus by following common sense rules based on social etiquette. In this paper, we argue that in order to enable the design of new target tracking or trajectory forecasting methods that can take full advantage of these rules, we need to have access to better data in the first place. To that end, we contribute a new large-scale dataset that co...