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EMMCVPR
2005
Springer
14 years 3 months ago
Probabilistic Subgraph Matching Based on Convex Relaxation
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
Christian Schellewald, Christoph Schnörr
ML
2007
ACM
13 years 9 months ago
Feature space perspectives for learning the kernel
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...
Charles A. Micchelli, Massimiliano Pontil
CVPR
2009
IEEE
15 years 5 months ago
Reconstructing Sharply Folding Surfaces: A Convex Formulation
In recent years, 3D deformable surface reconstruction from single images has attracted renewed interest. It has been shown that preventing the surface from either shrinking or s...
Mathieu Salzmann (University of California, Berkel...
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
13 years 12 months ago
Convex formulations of aggregate network air traffic flow optimization problems
The problem of regulating air traffic in the en route airspace of the National Airspace System is studied using an Eulerian network model to describe air traffic flow. The evolutio...
Daniel B. Work, Alexandre M. Bayen
OL
2011
177views Neural Networks» more  OL 2011»
13 years 24 days ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann