Analyses of color emotion for color pairs with independent component analysis and factor analysis

[1]  H. Kaiser The varimax criterion for analytic rotation in factor analysis , 1958 .

[2]  Juha Karhunen,et al.  Generalizations of principal component analysis, optimization problems, and neural networks , 1995, Neural Networks.

[3]  L. Ou,et al.  A study of colour emotion and colour preference. Part II: Colour emotions for two‐colour combinations , 2004 .

[4]  Shigenobu Kobayashi,et al.  The aim and method of the color image scale , 2009 .

[5]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[6]  Aapo Hyvärinen,et al.  Natural Image Statistics - A Probabilistic Approach to Early Computational Vision , 2009, Computational Imaging and Vision.

[7]  Terrence J. Sejnowski,et al.  The “independent components” of natural scenes are edge filters , 1997, Vision Research.

[8]  R N Vigário,et al.  Extraction of ocular artefacts from EEG using independent component analysis. , 1997, Electroencephalography and clinical neurophysiology.

[9]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[10]  Erkki Oja,et al.  Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.

[11]  J. Carroll An analytical solution for approximating simple structure in factor analysis , 1953 .

[12]  J. Xin,et al.  Cross-regional comparison of colour emotions Part II: Qualitative analysis , 2004 .

[13]  J Hogg,et al.  Dimensions and determinants of judgements of colour samples and a simulated interior space by architects and non-architects. , 1979, British journal of psychology.

[14]  L. Rainwater,et al.  The meanings of color. , 1962, The Journal of general psychology.

[15]  T. Oyama Synesthetic tendencies as the basis of sensory symbolism : A review of a series of experiments by means of semantic differential , 1998 .

[16]  Samuel L. Braunstein,et al.  Sure Success Partial Search , 2007, Quantum Inf. Process..

[17]  J. Hogg,et al.  A principal components analysis of semantic differential judgements of single colors and color pairs. , 1969, The Journal of general psychology.

[18]  Terrence J. Sejnowski,et al.  Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis , 2007, NeuroImage.

[19]  L. Ou,et al.  A study of colour emotion and colour preference. Part I: Colour emotions for single colours , 2004 .

[20]  J. O. Neuhaus,et al.  THE QUARTIMAX METHOD , 1954 .

[21]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[22]  L. Ou,et al.  A colour harmony model for two-colour combinations , 2006 .

[23]  Aapo Hyvärinen,et al.  A Fast Fixed-Point Algorithm for Independent Component Analysis , 1997, Neural Computation.

[24]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[25]  Tadasu Oyama,et al.  A cross-culture and cross-concept study of the generality of semantic spaces , 1963 .

[26]  J. Xin,et al.  Analysis of cross‐cultural color emotion , 2007 .