In this paper, we study the task of aggregating user-generated trajectories in a differentially private manner. We present new algorithm for problem and demonstrate its effectiveness practicality through detailed experiments on real-world data. also show that under simple natural assumptions, our has provable utility guarantees.

We construct a statistical theory of reactive trajectories between two pre-specified sets A and B, i.e. the portions of the path of a Markov process during which the path makes a transition from A to B. This problem is relevant e.g. in the context of metastability, in which case the two sets A and B are metastable sets, though the formalism we propose is independent of any such assumptions on A...

Z. W. Pylyshyn and R. W. Storm (1988) have shown that human observers can accurately track four to five items at a time. However, when a threshold paradigm is used, observers are unable to track more than a single trajectory accurately (S. P. Tripathy & B. T. Barrett, 2004). This difference between the two studies is examined systematically using substantially suprathreshold stimuli. The stimul...

Cluster analysis is a fundamental challenge in trajectory mining. However, existing trajectory clustering algorithms are not well suited to large numbers of trajectories in a city road network because of inadequate distance measures between two trajectories. In this paper we propose a novel Dijkstra based Dynamic Time Warping (DTW) distance measure, trajDTW between two trajectories, which is su...

economists were interested in economic stabilization policies as early as the 1930’s but the formal applications of stability theory from the classical control theory to economic analysis appeared in the early 1950’s when a number of control engineers actively collaborated with economists on economic stability and feedback mechanisms. the theory of optimal control resulting from the contributio...

(a) (b) Figure 1: (a) We exploit the visual similarity between mocap-generated trajectories (left) and dense trajectories (right) to improve cross-view action recognition. (b) For mocap-trajectories, we can easily obtain corresponding features (i.e., descriptors for trajectories that originate from the same 3D point) in two views. We use these pairs of features to learn the transformation funct...