Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
about
Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inferenceMulti-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesMulti-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaGroup Study of Simulated Driving fMRI Data by Multiset Canonical Correlation AnalysisCombination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICAMultimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.A review of multivariate methods for multimodal fusion of brain imaging dataA selective review of multimodal fusion methods in schizophrenia.Voxelwise multivariate analysis of multimodality magnetic resonance imaging.Alterations of Gray and White Matter Networks in Patients with Obsessive-Compulsive Disorder: A Multimodal Fusion Analysis of Structural MRI and DTI Using mCCA+jICA.In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia.Haptic contents of a movie dynamically engage the spectator's sensorimotor cortex.Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.A new algebraic method for quantitative proton density mapping using multi-channel coil data.Inter-subject alignment of MEG datasets in a common representational space.Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders.Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of SchizophreniaAssessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study.Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle.Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System With Noise Artifact Removal.Multimodal neural correlates of cognitive control in the Human Connectome Project.Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior.Detection of Cardiopulmonary Activity and Related Abnormal Events Using Microsoft Kinect Sensor.Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation AnalysisAudio video based fast fixed-point independent vector analysis for multisource separation in a room environment
P2860
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P2860
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@en
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@nl
type
label
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@en
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@nl
prefLabel
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@en
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@nl
P2093
P2860
P356
P1476
Joint Blind Source Separation by Multi-set Canonical Correlation Analysis.
@en
P2093
P2860
P304
P356
10.1109/TSP.2009.2021636
P577
2009-10-01T00:00:00Z