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81
Voted
TIT
2010
100views Education» more  TIT 2010»
14 years 7 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
TC
2010
14 years 7 months ago
On the Problem of Evaluating the Performance of Multiprogrammed Workloads
Multithreaded architectures are becoming more and more popular. In order to evaluate their behavior, several methodologies and metrics have been proposed. A methodology defines whe...
Francisco J. Cazorla, Alex Pajuelo, Oliverio J. Sa...
SOCO
2010
Springer
14 years 7 months ago
Taximeter verification with GPS and soft computing techniques
Until recently, local governments in Spain were using machines with rolling cylinders for verifying taximeters. However, the condition of the tires can lead to errors in the proces...
José Villar, Adolfo Otero, José Oter...
110
Voted
MVA
2010
229views Computer Vision» more  MVA 2010»
14 years 7 months ago
Robust 3D object registration without explicit correspondence using geometric integration
3D vision guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objec...
Dirk Breitenreicher, Christoph Schnörr
CORR
2011
Springer
203views Education» more  CORR 2011»
14 years 7 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
109
Voted
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 7 months ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...
91
Voted
CORR
2010
Springer
111views Education» more  CORR 2010»
14 years 10 months ago
Calibration for Ultrasound Breast Tomography Using Matrix Completion
We study the calibration problem in circular ultrasound tomography devices for breast imaging, where the sensor positions deviate from the circumference of a perfect circle. We in...
Reza Parhizkar, Amin Karbasi, Sewoong Oh, Martin V...
110
Voted
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 10 months ago
Real-world robot navigation amongst deformable obstacles
Abstract-- In this paper, we consider the problem of mobile robots navigating in environments with non-rigid objects. Whereas robots can plan their paths more effectively when they...
Barbara Frank, Cyrill Stachniss, Ruediger Schmeddi...
ICC
2009
IEEE
14 years 10 months ago
Optimal Transmitters for Hypothesis Testing over a Rayleigh Fading MAC
We consider the case when K sensors have strongly correlated measurements - they all observe a 0 or they all observe
Onkar Dabeer
101
Voted
ICASSP
2009
IEEE
14 years 10 months ago
On the recovery of nonnegative sparse vectors from sparse measurements inspired by expanders
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
M. Amin Khajehnejad, Babak Hassibi