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Lecture Notes in Computer Science
Local factor analysis (LFA) is regarded as an efficient approach that implements local feature extraction and dimensionality reduction. A further investigation is made on an automatic BYY harmony data smoothing LFA (LFA-HDS) from the Bayesian Ying-Yang (BYY) harmony learning point of view. On the level of regularization, an data smoothing based regularization technique is adapted into this automatic LFA-HDS learning for problems with small sample sizes, while on the level of model selection,doi:10.1007/11840930_27 fatcat:w67mmfaktfgvbauudjtxbqjkf4