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ICASSP
2007
IEEE
16 years 10 days ago
A Self-Training Semi-Supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin
ECRTS
2005
IEEE
15 years 11 months ago
Scheduling Tasks with Markov-Chain Based Constraints
Markov-Chain (MC) based constraints have been shown to be an effective QoS measure for a class of real-time systems, particularly those arising from control applications. Scheduli...
Donglin Liu, Xiaobo Sharon Hu, Michael D. Lemmon, ...
ICPR
2006
IEEE
16 years 7 months ago
A novel SVM Geometric Algorithm based on Reduced Convex Hulls
Geometric methods are very intuitive and provide a theoretically solid viewpoint to many optimization problems. SVM is a typical optimization task that has attracted a lot of atte...
Michael E. Mavroforakis, Margaritis Sdralis, Sergi...
ISCIS
2005
Springer
15 years 11 months ago
Comparison of Hyper-DAG Based Task Mapping and Scheduling Heuristics for Wireless Sensor Networks
Abstract. In-network processing emerges as an approach to reduce energy consumption in Wireless Sensor Networks (WSN) by decreasing the overall transferred data volume. Parallel pr...
Yuan Tian, Füsun Özgüner, Eylem Eki...