Learning graphs to match

M Cho, K Alahari, J Ponce - Proceedings of the IEEE International …, 2013 - cv-foundation.org
Many tasks in computer vision are formulated as graph matching problems. Despite the NP-
hard nature of the problem, fast and accurate approximations have led to significant …

A flexible tensor block coordinate ascent scheme for hypergraph matching

Q Nguyen, A Gautier, M Hein - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
The estimation of correspondences between two images resp. point sets is a core problem
in computer vision. One way to formulate the problem is graph matching leading to the …

A local sparse model for matching problem

B Jiang, J Tang, C Ding, B Luo - … of the AAAI Conference on Artificial …, 2015 - ojs.aaai.org
Feature matching problem that incorporates pairwise constraints is usually formulated as a
quadratic assignment problem (QAP). Since it is NP-hard, relaxation models are required. In …

Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training

M Izbicki - International Conference on Machine Learning, 2013 - proceedings.mlr.press
We use abstract algebra to derive new algorithms for fast cross-validation, online learning,
and parallel learning. To use these algorithms on a classification model, we must show that …

[PDF][PDF] SnFFT: a Julia toolkit for Fourier analysis of functions over permutations

G Plumb, D Pachauri, R Kondor, V Singh - The Journal of Machine Learning …, 2015 - jmlr.org
SnFFT is an easy to use software library written in the Julia language to facilitate Fourier
analysis on the symmetric group (set of permutations) of degree n, denoted Sn and make it …

Enlighten me! secure key assignment in wireless sensor networks

M Gauger, O Saukh, PJ Marrón - 2009 IEEE 6th International …, 2009 - ieeexplore.ieee.org
The availability of secret keys is a precondition for the use of many security solutions and
protocols. However, securely assigning such keys to nodes is a challenging task in the …

Mathematical Formulations, Algorithms and Theory for Big Data Problems

V Huroyan - 2018 - conservancy.umn.edu
This is a collection of works that I have done during my Ph. D. research at the University of
Minnesota. There are three parts dedicated to different topics, of which abstracts are …

Learning similarities for rigid and non-rigid object detection

A Kanezaki, E Rodola, D Cremers… - 2014 2nd International …, 2014 - ieeexplore.ieee.org
In this paper, we propose an optimization method for estimating the parameters that typically
appear in graph-theoretical formulations of the matching problem for object detection …

A center-biased graph learning algorithm for image classification

G Choi, CG Lim, HJ Choi - … Conference on Big Data and Smart …, 2017 - ieeexplore.ieee.org
Graph matching is an important problem in the field of computer vision. Graph matching
problem can be represented as quadratic assignment problem. Because the problem is …

Beiträge zum Entwurf größenoptimaler schneller Fouriertransformationen auf gewissen homogenen Räumen symmetrischer Gruppen

PC Hühne - 2016 - bonndoc.ulb.uni-bonn.de
Sei S n die symmetrische Gruppe auf {1,..., n} und S nk die Untergruppe von S n, die die
Elemente j> nk stabilisiert. Komplexwertige Funktionen auf dem homogenen Raum S n/S nk …