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PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 4 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
TNN
2011
200views more  TNN 2011»
14 years 4 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 4 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
TVCG
2011
136views more  TVCG 2011»
14 years 4 months ago
Interactive Mesh Cutting Using Constrained Random Walks
—This paper considers the problem of interactively finding the cutting contour to extract components from an existing mesh. First, we propose a constrained random walks algorith...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
JDCTA
2010
119views more  JDCTA 2010»
14 years 4 months ago
Distributed Dual Cluster Algorithm Based on Grid for Sensor Streams
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
Jianghua Huang, Junying Zhang