D15-1127 |
among other techniques , used
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canonical correlation analysis
|
to project pre-trained vectors
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D15-1150 |
introduced a new method using
|
Canonical Correlation Analysis
|
( CCA ) to generalize the aligned
|
D15-1163 |
to domain adaptation based on
|
canonical correlation analysis
|
Haghighi et al. ( 2008 ) . However
|
D15-1070 |
method for multimodal learning is
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canonical correlation analysis
|
( CCA ) ( Hotelling , 1936 )
|
D15-1070 |
languages by means of generalized
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canonical correlation analysis
|
. For the purpose of evalu -
|
D13-1202 |
Silberer and Lapata ( 2013 ) , where
|
Canonical Correlation Analysis
|
is used . We reserve the exploration
|
D14-1012 |
as latent semantic analysis and
|
canonical correlation analysis
|
( Dhillon et al. , 2011 ) . The
|
D15-1150 |
words and contexts is based on
|
Canonical Correlation Analysis
|
( CCA ) , a dimensionality reduction
|
D10-1025 |
Canonical Correlation Analysis
|
Canonical Correlation Analysis
|
( CCA ) is a technique that is
|
D10-1025 |
0.1 for all final tests . 2.3
|
Canonical Correlation Analysis
|
Canonical Correlation Analysis
|
D14-1113 |
word vector representations using
|
Canonical Correlation Analysis
|
( CCA ) . Word vector representations
|
D12-1003 |
generative model based on probabilistic
|
canonical correlation analysis
|
, where words are represented
|
D14-1032 |
Silberer and Lapata ( 2012 ) ) ,
|
canonical correlation analysis
|
( CCA ) ( Hardoon et al. , 2004
|
D12-1130 |
available . Finally , we propose
|
Canonical Correlation Analysis
|
( Hotelling , 1936 ; Hardoon
|
D12-1130 |
Analysis Our third model uses
|
Canonical Correlation Analysis
|
( CCA , Hardoon et al. ( 2004
|
D15-1070 |
extension of CCA , generalized
|
canonical correlation analysis
|
( GCCA ) , to handle more than
|
D13-1115 |
multimodal integration based on
|
Canonical Correlation Analysis
|
, and performs a systematic comparison
|
D12-1130 |
features . The model based on
|
Canonical Correlation Analysis
|
( Hardoon et al. , 2004 ) integrates
|
D15-1150 |
DeNero and Macherey , 2011 ) . 2.3
|
Canonical Correlation Analysis
|
( CCA ) Our method for generalizing
|
D12-1002 |
Our approach is inspired by the
|
Canonical Correlation Analysis
|
( CCA ) ( Hotelling , 1936 )
|