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» Two Graph Algorithms On an Associative Computing Model
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ICASSP
2010
IEEE
15 years 2 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
134
Voted
ICDCS
2006
IEEE
15 years 8 months ago
Fault-Tolerant Clustering in Ad Hoc and Sensor Networks
In this paper, we study distributed approximation algorithms for fault-tolerant clustering in wireless ad hoc and sensor networks. A k-fold dominating set of a graph G = (V, E) is...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
143
Voted
EC
1998
112views ECommerce» more  EC 1998»
15 years 2 months ago
DNA Computation: Theory, Practice, and Prospects
L. M. Adleman launched the field of DNA computing with a demonstration in 1994 that strands of DNA could be used to solve the Hamiltonian path problem for a simple graph. He also...
Carlo C. Maley
PKDD
2009
Springer
117views Data Mining» more  PKDD 2009»
15 years 9 months ago
New Regularized Algorithms for Transductive Learning
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
Partha Pratim Talukdar, Koby Crammer
APPROX
2006
Springer
162views Algorithms» more  APPROX 2006»
15 years 6 months ago
Approximating Precedence-Constrained Single Machine Scheduling by Coloring
Abstract. This paper investigates the relationship between the dimension theory of partial orders and the problem of scheduling precedenceconstrained jobs on a single machine to mi...
Christoph Ambühl, Monaldo Mastrolilli, Ola Sv...