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NIPS
2000
14 years 11 months ago
Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech
An eigenvalue method is developed for analyzing periodic structure in speech. Signals are analyzed by a matrix diagonalization reminiscent of methods for principal component analy...
Lawrence K. Saul, Jont B. Allen
102
Voted
ICASSP
2010
IEEE
14 years 8 months ago
Independent subspace analysis with prior information for fMRI data
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tülay A...
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
15 years 3 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
86
Voted
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
15 years 6 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta
BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...