output
20042026
most citedDeep Learning for Visual Tracking: A Comprehensive Survey

424 citations

Showing 2016Show all

35 papers · 1 filter

math.DS2016

Adding Machine Maps and Minimal Sets for Iterated Function Systems

Mehdi Fatehi Nia

In this paper, we focus attention on extending the topological conjugacy of adding machine maps and minimal systems to iterated function systems. We provide necessary and sufficien…

hep-ph2016★ 3 cited

QCD analysis of light charged Higgs production through polarized top quark decay in two various frames

S. Mohammad Moosavi Nejad, S. Abbaspour

Light and heavy charged Higgs bosons are predicted by many models with an extended Higgs sector such as the two-Higgs-doublet model (2HDM). Searches for the charged Higgs bosons ha…

math.GR2016

The Divisibility Graph of finite groups of Lie Type

Adeleh Abdolghafourian, Mohammad A. Iranmanesh, Alice C. Niemeyer

The Divisibility Graph of a finite group has vertex set the set of conjugacy class lengths of non-central elements in and two vertices are connected by an edge if one divid…

cs.DM2016★ 9 cited

On fixed-parameter tractability of the mixed domination problem for graphs with bounded tree-width

M. Rajaati, M. R. Hooshmandasl, M. J. Dinneen +1

A mixed dominating set for a graph is a set such that every element is either adjacent or incident to an element o…

hep-ph2016★ 1 cited

Deviation pattern approach for optimizing perturbative terms of QCD renormalization group invariant observables

M. Khellat, A. Mirjalili

We first consider the idea of renormalization group-induced estimates, in the context of optimization procedures, for the Brodsky-Lepage-Mackenzie approach to generate higher-order…

cs.MM2016★ 3 cited

A Novel Boundary Matching Algorithm for Video Temporal Error Concealment

Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei

With the fast growth of communication networks, the video data transmission from these networks is extremely vulnerable. Error concealment is a technique to estimate the damaged da…