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» Clustering from Constraint Graphs
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ICASSP
2011
IEEE
14 years 7 months ago
Graph-based sequential particle filtering in lossy networks: Single and multiple collaborative cameras
This paper presents a novel approach of multiple target tracking from multiple collaborative cameras. Firstly, particle filtering for conditional density propagation on graphs to...
Jing Huang, Dan Schonfeld
172
Voted
IPCV
2008
15 years 5 months ago
Hierarchical Minimum Spanning Trees for Lossy Image Set Compression
Minimum spanning tree algorithms have been proposed for the lossy compression of image sets. In these algorithms, a complete graph is constructed from the entire image set and an ...
Anthony Schmieder, Howard Cheng, Barry Gergel, Xia...
HIS
2009
15 years 1 months ago
A Memetic Algorithm for the Generalized Minimum Vertex-Biconnected Network Problem
Abstract--The generalized minimum vertex-biconnected network problem plays an important role in the design of survivable backbone networks that should be fault tolerant to single c...
Bin Hu, Günther R. Raidl
116
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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
128
Voted
CORR
2010
Springer
185views Education» more  CORR 2010»
15 years 3 months ago
Estimating and Sampling Graphs with Multidimensional Random Walks
Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random w...
Bruno F. Ribeiro, Donald F. Towsley