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ICA
2004
Springer
15 years 9 months ago
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Ha...
JSAC
2011
105views more  JSAC 2011»
14 years 10 months ago
Capacity- and Bayesian-Based Cognitive Sensing with Location Side Information
— We investigate spectrum sensing by energy detection based on two different objective functions: a Bayesian sensing cost or the network weighted sum capacity. The Bayesian cost ...
Peng Jia, Mai Vu, Tho Le-Ngoc, Seung-Chul Hong, Va...
135
Voted
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 10 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
155
Voted
JCP
2008
206views more  JCP 2008»
15 years 3 months ago
SW-R2P: A Trusted Small World Overlay P2P Network with Zero Knowledge Identification
In order to implement both the efficiency and security in the Peer-to-Peer (P2P) network, we design a trusted small world overlay P2P network with the role based and reputation bas...
Yingjie Xia, Guanghua Song, Yao Zheng
UMUAI
1998
157views more  UMUAI 1998»
15 years 3 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...