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Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials

Related publications (40)

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A Universal Primal-Dual Convex Optimization Framework

Volkan Cevher, Quoc Tran Dinh, Alp Yurtsever

We propose a new primal-dual algorithmic framework for a prototypical con- strained convex optimization template. The algorithmic instances of our frame- work are universal since they can automatically adapt to the unknown Ho ̈lder con- tinuity properties ...

2015

Coding Structure and Replication Optimization for Interactive Multiview Video Streaming

Pascal Frossard

Multiview video refers to videos of the same dynamic 3-D scene captured simultaneously by multiple closely spaced cameras from different viewpoints. We study interactive streaming of pre-encoded multiview videos, where, at any time, a client can request an ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Structure of optimal schedules in diamond networks

Christina Fragouli, Siddhartha Brahma

We consider Gaussian diamond networks with n half-duplex relays. At any point of time, a relay can either be in a listening (L) or transmitting (T) state. The capacity of such networks can be approximated to within a constant gap (independent of channel SN ...

Ieee2014

LP-Based Algorithms for Capacitated Facility Location

Ola Nils Anders Svensson, Hyung Chan An

Linear programming has played a key role in the study of algorithms for combinatorial optimization problems. In the field of approximation algorithms, this is well illustrated by the uncapacitated facility location problem. A variety of algorithmic methodo ...

IEEE2014

Strong LP Formulations for Scheduling Splittable Jobs on Unrelated Machines

Ola Nils Anders Svensson

We study a natural generalization of the problem of minimizing makespan on unrelated machines in which jobs may be split into parts. The different parts of a job can be (simultaneously) processed on different machines, but each part requires a setup time b ...

Springer2014

Efficient Subnetwork Selection in Relay Networks

Christina Fragouli, Siddhartha Brahma, Ayan Sengupta

We consider a source that would like to communicate with a destination over a layered Gaussian relay network. We present a computationally efficient method that enables to select a near-optimal (in terms of throughput) subnetwork of a given size connecting ...

2014

Efficient Subnetwork Selection in Relay Networks

Christina Fragouli, Siddhartha Brahma, Ayan Sengupta

Ieee2014

Bearing estimation via spatial sparsity using compressive sensing

Volkan Cevher

Bearing estimation algorithms obtain only a small number of direction of arrivals (DOAs) within the entire angle domain, when the sources are spatially sparse. Hence, we propose a method to specifically exploit this spatial sparsity property. The method us ...

Institute of Electrical and Electronics Engineers2012

Optimal selection of customers for a last-minute offer

Thomas Rothvoss

We analyze a short-term revenue optimization problem that involves the optimal targeting of customers for a promotion in which a finite number of perishable items are sold on a last-minute offer. The goal is to select the subset of customers to whom the of ...

Informs2010

A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning

Daniel Kuhn

The usual approach to dealing with Mixed Logical Semidefinite Programs (MLSDPs) is through the “Big-M” or the convex hull reformulation. The Big-M approach is appealing for its ease of modeling, but it leads to weak convex relaxations when used in a Branch ...

IEEE2010