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» Nonlinear Component Analysis as a Kernel Eigenvalue Problem
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DSP
2007
14 years 11 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
CVPR
2006
IEEE
16 years 1 months ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
96
Voted
ISNN
2004
Springer
15 years 5 months ago
A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
Hanghang Tong, Chongrong Li, Jingrui He
TSMC
2010
14 years 6 months ago
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics
Abstract--This paper considers a second-order consensus problem for multiagent systems with nonlinear dynamics and directed topologies where each agent is governed by both position...
Wenwu Yu, Guanrong Chen, Ming Cao, Jürgen Kur...
111
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ICASSP
2008
IEEE
15 years 6 months ago
On quantifying the effects of noncircularity on the complex fastica algorithm
The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
Mike Novey, Tülay Adali