activity
20082026
most citedMachine Learning Methods for Data Association in Multi-Object Tracking

45 citations · 206 across the 37 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

math.OC2018

A Smooth Double Proximal Primal-Dual Algorithm for a Class of Distributed Nonsmooth Optimization Problem

Yue Wei, Hao Fang, Xianlin Zeng +2

This technical note studies a class of distributed nonsmooth convex consensus optimization problem. The cost function is a summation of local cost functions which are convex but no…

math.OC2018★ 12 cited

On the complexity of quasiconvex integer minimization problem

A. Yu. Chirkov, D. V. Gribanov, D. S. Malyshev +3

In this paper, we consider the class of quasiconvex functions and its proper subclass of conic functions. The integer minimization problem of these functions is considered in the p…

physics.soc-ph2018★ 34 cited

Assessing diversity in multiplex networks

L. C. Carpi, T. A. Schieber, P. M. Pardalos +4

Diversity, understood as the variety of different elements or configurations that an extensive system has, is a crucial property that allows maintaining the system's functionality…

cs.LG2018

Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series

Anton Kocheturov, Petar Momcilovic, Azra Bihorac +1

Temporal Pattern Mining (TPM) is the problem of mining predictive complex temporal patterns from multivariate time series in a supervised setting. We develop a new method called th…

cs.CV2018★ 45 cited

Machine Learning Methods for Data Association in Multi-Object Tracking

Patrick Emami, Panos M. Pardalos, Lily Elefteriadou +1

Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature. A popular and general way to formulate dat…