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CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 4 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
JMLR
2002
115views more  JMLR 2002»
15 years 3 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ICCAD
2005
IEEE
90views Hardware» more  ICCAD 2005»
16 years 1 months ago
Scalable compositional minimization via static analysis
State-equivalence based reduction techniques, e.g. bisimulation minimization, can be used to reduce a state transition system to facilitate subsequent verification tasks. However...
Fadi A. Zaraket, Jason Baumgartner, Adnan Aziz
ISSRE
2006
IEEE
15 years 10 months ago
BPEL4WS Unit Testing: Test Case Generation Using a Concurrent Path Analysis Approach
BPEL is a language that could express complex concurrent behaviors. This paper presents a novel method of BPEL test case generation, which is based on concurrent path analysis. Th...
Jun Yan, Zhong Jie Li, Yuan Yuan, Wei Sun, Jian Zh...
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
15 years 6 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi