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» On the Comparability of Software Clustering Algorithms
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ETRA
2008
ACM
119views Biometrics» more  ETRA 2008»
13 years 9 months ago
A software framework for simulating eye trackers
We describe an open-source software framework that simulates the measurements made using one or several cameras in a videooculographic eye tracker. The framework can be used to co...
Martin Böhme, Michael Dorr, Mathis Graw, Thom...
DATE
2009
IEEE
89views Hardware» more  DATE 2009»
14 years 2 months ago
Robust non-preemptive hard real-time scheduling for clustered multicore platforms
—Scheduling task graphs under hard (end-to-end) timing constraints is an extensively studied NP-hard problem of critical importance for predictable software mapping on Multiproce...
Michele Lombardi, Michela Milano, Luca Benini
TKDE
2008
111views more  TKDE 2008»
13 years 8 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
TKDE
2002
168views more  TKDE 2002»
13 years 7 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
EMNLP
2010
13 years 6 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou