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119
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BMCBI
2010
150views more  BMCBI 2010»
14 years 10 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
IEEECIT
2010
IEEE
14 years 10 months ago
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
Muhammad Imran Razzak, Muhammad Khurram Khan, Khal...
120
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ACCV
2010
Springer
14 years 7 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
88
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COGSCI
2011
50views more  COGSCI 2011»
14 years 7 months ago
A Phase Transition Model for the Speed-Accuracy Trade-Off in Response Time Experiments
Most models of response time (RT) in elementary cognitive tasks implicitly assume that the speed-accuracy trade-off is continuous: When payoffs or instructions gradually increase ...
Gilles Dutilh, Eric-Jan Wagenmakers, Ingmar Visser...
94
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TOSN
2011
116views more  TOSN 2011»
14 years 7 months ago
A model framework for greedy routing in a sensor network with a stochastic power scheme
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Holger Paul Keeler, Peter G. Taylor