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ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
15 years 8 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
CIVR
2005
Springer
133views Image Analysis» more  CIVR 2005»
15 years 7 months ago
Hot Event Detection and Summarization by Graph Modeling and Matching
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Yuxin Peng, Chong-Wah Ngo
99
Voted
BMVC
2001
15 years 4 months ago
Graph Matching using Adjacency Matrix Markov Chains
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
Antonio Robles-Kelly, Edwin R. Hancock
FLAIRS
2004
15 years 3 months ago
ABSURDIST II: A Graph Matching Algorithm and its Application to Conceptual System Translation
ABSURDIST II, an extension to ABSURDIST, is an algorithm using attributed graph matching to find translations between conceptual systems. It uses information about the internal st...
Ying Feng, Robert L. Goldstone, Vladimir Menkov
ESA
2004
Springer
120views Algorithms» more  ESA 2004»
15 years 7 months ago
Maximum Matchings in Planar Graphs via Gaussian Elimination
We present a randomized algorithm for finding maximum matchings in planar graphs in time O(nω/2 ), where ω is the exponent of the best known matrix multiplication algorithm. Sin...
Marcin Mucha, Piotr Sankowski