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» A Comparative Evaluation of Name-Matching Algorithms
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CEC
2009
IEEE
15 years 10 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao
130
Voted
ICASSP
2007
IEEE
15 years 10 months ago
A New Rotation Search for Dependent Rate-Distortion Optimization in Video Coding
We present a novel search algorithm which is suitable for optimizing functions with a high-dimensional discrete-valued parameter vector. The algorithm is designed to find a funct...
Tuukka Toivonen, Loren Merritt, Ville Ojansivu, Ja...
100
Voted
INFOCOM
2003
IEEE
15 years 8 months ago
Multipoint-to-Point Session Fairness in the Internet
— In the current Internet, many applications start sessions with multiple connections to multiple servers in order to expedite the reception of data. One may argue that such aggr...
Pradnya Karbhari, Ellen W. Zegura, Mostafa H. Amma...
128
Voted
HIPC
2003
Springer
15 years 8 months ago
Combined Scheduling of Hard and Soft Real-Time Tasks in Multiprocessor Systems
Many complex real-time applications involve combined scheduling of hard and soft real-time tasks. In this paper, we propose a combined scheduling algorithm, called Emergency Algori...
Basheer Al-Duwairi, Govindarasu Manimaran
123
Voted
DIS
2006
Springer
15 years 7 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann