Publications related to MAV Urban Localization from Google Street View Data

A Comment on “Computational Complexity of Stochastic Programming Problems”

Daniel Kuhn, Grani Adiwena Hanasusanto, Wolfram Wiesemann

Although stochastic programming problems were always believed to be computationally challenging, this perception has only recently received a theoretical justification by the seminal work of Dyer and Stougie (Mathematical Programming A, 106(3):423–432, 200 ...

Springer Heidelberg2016

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Phase Transitions in Group Testing

Volkan Cevher, Jonathan Mark Scarlett

The group testing problem consists of determining a sparse subset of a set of items that are ``defective'' based on a set of possibly noisy tests, and arises in areas such as medical testing, fault detection, communication protocols, pattern matching, and ...

2016

Detection of mini-UAVs in the presence of strong topographic relief - a multi-sensor perspective

Yusuf Leblebici

Based on the steadily growing use of mini-UAVs for numerous civilian and military applications, mini-UAVs have been recognized as an increasing potential threat. Therefore, counter-UAV solutions addressing the peculiarities of this class of UAVs have recen ...

Spie-Int Soc Optical Engineering2016

K-Adaptability in Two-Stage Robust Binary Programming

Daniel Kuhn, Grani Adiwena Hanasusanto, Wolfram Wiesemann

Over the last two decades, robust optimization has emerged as a computationally attractive approach to formulate and solve single-stage decision problems affected by uncertainty. More recently, robust optimization has been successfully applied to multi-sta ...

Informs2015

Matrix Recipes for Hard Thresholding Methods

Volkan Cevher, Anastasios Kyrillidis

In this paper, we present and analyze a new set of low-rank recovery algorithms for linear inverse problems within the class of hard thresholding methods. We provide strategies on how to set up these algorithms via basic ingredients for different configura ...

Springer Verlag2014

Blind Phase Calibration in Sparse Recovery

Rémi Gribonval, Gilles Puy

We consider a blind calibration problem in a compressed sensing measurement system in which each sensor introduces an unknown phase shift to be determined. We show that this problem can be approached similarly to the problem of phase retrieval from quadrat ...

2013

A Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

Alexandre Schmid, Yusuf Leblebici, Irem Boybat Kara, Abdulkadir Akin, Hüseyin Baris Atakan, Ipek Baz

The computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images. Thi ...

2013

On the online track assignment problem

Benjamin Leroy-Beaulieu

This paper aims to start an analytical study of the computational complexity of some online We analyze the following problem. Consider a train station consisting of a set of parallel tracks. Each track can be approached from one side only or from both side ...

2012

Strongly feasible stochastic model predictive control

Milan Korda

In this article we develop a systematic approach to enforce strong feasibility of probabilistically constrained stochastic model predictive control problems for linear discrete-time systems under affine disturbance feedback policies. Two approaches are pre ...

2011

MAV Urban Localization from Google Street View Data

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A Comment on “Computational Complexity of Stochastic Programming Problems”

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Phase Transitions in Group Testing

Detection of mini-UAVs in the presence of strong topographic relief - a multi-sensor perspective

K-Adaptability in Two-Stage Robust Binary Programming

Matrix Recipes for Hard Thresholding Methods

Blind Phase Calibration in Sparse Recovery

A Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

On the online track assignment problem

Strongly feasible stochastic model predictive control

Blind Phase Calibration in Sparse Recovery

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

On the online track assignment problem

K-Adaptability in Two-Stage Robust Binary Programming

A Comment on “Computational Complexity of Stochastic Programming Problems”

Strongly feasible stochastic model predictive control

Matrix Recipes for Hard Thresholding Methods

Detection of mini-UAVs in the presence of strong topographic relief - a multi-sensor perspective

A Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

Phase Transitions in Group Testing