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» Stochastic Processes for Canonical Correlation Analysis
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TSP
2008
166views more  TSP 2008»
13 years 5 months ago
A Unifying Discussion of Correlation Analysis for Complex Random Vectors
The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techni...
Peter J. Schreier
ICASSP
2011
IEEE
12 years 9 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
ICIP
2006
IEEE
14 years 7 months ago
Rotational Invariance in Adaptive fMRI Data Analysis
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
Joakim Rydell, Hans Knutsson, Magnus Borga
JCP
2008
167views more  JCP 2008»
13 years 6 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
ICCD
2006
IEEE
157views Hardware» more  ICCD 2006»
14 years 2 months ago
Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation
— As the technology scales into 90nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the vol...
Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan