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Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials

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Multiple Object Tracking using Flow Linear Programming

Pascal Fua, François Fleuret, Jérôme Berclaz

Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previ ...

2009

Multiple Object Tracking using Flow Linear Programming

Pascal Fua, François Fleuret, Jérôme Berclaz

Multi-object tracking can be achieved by detecting objects in individ- ual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in pre ...

Idiap2009

Fast, quasi-optimal, and pipelined instruction-set extensions

Paolo Ienne, Philip Brisk, Ajay Kumar Verma

Nowadays many customised embedded processors offer the possibility of speeding up an application by implementing it using Application-Specific Functional units (AFUs). However, the AFUs must satisfy certain constraints in terms of read and write ports betw ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Average case analysis of multichannel sparse approximations using p- thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces

p

-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latte ...

2007

Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces p-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latter ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2007

Average case analysis of multichannel thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

2007

BDDs in a branch and cut framework

Friedrich Eisenbrand

Branch and cut is today's state-of-the-art method to solve 0/1-integer linear programs. Important for the success of this method is the generation of strong valid inequalities, which tighten the linear programming relaxation of 0/1-IPs and thus allow for e ...

2005

Disassembly scheduling

Hwa-Joong Kim

This dissertation focuses on disassembly scheduling, which is the problem of determining the quantity and timing of disassembling used or end-of-life products while satisfying the demand of their parts/components over a given planning horizon. The objectiv ...

EPFL2005

On the complexity of integer programming in fixed dimension

Friedrich Eisenbrand

Summary form only given. Integer programming is the problem of maximizing a linear function over the integer vectors which satisfy a given set of inequalities. A wide range of combinatorial optimization problems can be modeled as integer programming proble ...

2005

A heurisctic 0-1 integer programming method

In this paper, we present a novel relaxation method for the integer programming problem:...(that formule is not writeable in computer characters)... The report includes experimental results of problems with up to m=100 equations and N=400 variables. ...

1992

Average case analysis of multichannel sparse approximations using p- thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces

p

2007