Canonical correlation analysis using artificial neural networks. - Pei Ling Lai; Colin Fyfe (ESANN, 1998)

A neural implementation of canonical correlation analysis. - Pei Ling Lai; Colin Fyfe (Neural Networks, 1999)

Canonical Correlation Analysis Neural Networks. - Colin Fyfe; Pei Ling Lai (ICPR, 2000)

Power Load Forecasting Using Neural Canonical Correlates. - Pei Ling Lai; Shang Jen Chuang; Colin Fyfe (ICPR, 2000)

Unsupervised Extraction of Structural Information from High Dimensional Visual Data. - Stephen McGlinchey; Darryl Charles; Pei Ling Lai; Colin Fyfe (Appl. Intell., 2000)

Kernel and Nonlinear Canonical Correlation Analysis. - Pei Ling Lai; Colin Fyfe (Int. J. Neural Syst., 2000)

Simultaneous Identification of Face and Orientation. - Pei Ling Lai; Colin Fyfe (Neural Process. Lett., 2000)

A Family of Canonical Correlation Networks. - Pei Ling Lai; Colin Fyfe (Neural Process. Lett., 2001)

Probabilistic derivation and Multiple Canonical Correlation Analysis. - Pei Ling Lai (ESANN, 2002)

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. - Pei Ling Lai; Gayle Leen; Colin Fyfe (ICANN (2), 2006)

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. - Pei Ling Lai; Colin Fyfe (IJCNN, 2006)

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. - Pei Ling Lai; Gayle Leen; Colin Fyfe (IJCNN, 2006)

Immediate Reward Reinforcement Learning for Projective Kernel Methods. - Colin Fyfe; Pei Ling Lai (ESANN, 2007)

Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. - Ying Wu 004; Colin Fyfe; Pei Ling Lai (ICANN (1), 2007)

Reinforcement Learning for Topographic Mappings. - Pei Ling Lai; Colin Fyfe (IJCNN, 2007)

Reinforcement Learning Reward Functions for Unsupervised Learning. - Colin Fyfe; Pei Ling Lai (ISNN (1), 2007)

Bregman Divergences and Multi-dimensional Scaling. - Pei Ling Lai; Colin Fyfe (ICONIP (2), 2008)

A topology preserving mapping for face recognition. - Colin Fyfe; Tseng Wen-Ching; Wu Chia-Ti; Chien Shih-Yu; Pei Ling Lai (IJCNN, 2008)

Gaussian processes for canonical correlation analysis. - Colin Fyfe; Gayle Leen; Pei Ling Lai (Neurocomputing, 2008)

Two forms of immediate reward reinforcement learning for exploratory data analysis. - Ying Wu 004; Colin Fyfe; Pei Ling Lai (Neural Networks, 2008)

Geometric Divide and Conquer Classification for High-dimensional Data. - Pei Ling Lai; Yang Jin Liang; Alfred Inselberg (DATA, 2012)

Visualization and Data Mining for High Dimensional Data - -With Connections to Information Retrieval. - Alfred Inselberg; Pei Ling Lai (RuSSIR, 2014)

Parallel coordinates are better than they... look! - Alfred Inselberg; Pei Ling Lai (SIGGRAPH ASIA Courses, 2014)