Pei Ling Lai

According to our database, Pei Ling Lai authored at least 23 papers between 1998 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Parallel coordinates are better than they... look!

Alfred Inselberg, Pei Ling Lai

Proceedings of the SIGGRAPH Asia 2014 Courses, Shenzhen, China, December 3-6, 2014, 2014

Visualization and Data Mining for High Dimensional Data - -With Connections to Information Retrieval.

Alfred Inselberg, Pei Ling Lai

Proceedings of the Information Retrieval, 2014

2012

Geometric Divide and Conquer Classification for High-dimensional Data.

Pei Ling Lai, Yang Jin Liang, Alfred Inselberg

Proceedings of the DATA 2012, 2012

2008

Two forms of immediate reward reinforcement learning for exploratory data analysis.

Ying Wu, Colin Fyfe, Pei Ling Lai

Neural Networks, 2008

Gaussian processes for canonical correlation analysis.

Colin Fyfe, Gayle Leen, Pei Ling Lai

Neurocomputing, 2008

A topology preserving mapping for face recognition.

Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai

Proceedings of the International Joint Conference on Neural Networks, 2008

Bregman Divergences and Multi-dimensional Scaling.

Pei Ling Lai, Colin Fyfe

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Reinforcement Learning Reward Functions for Unsupervised Learning.

Colin Fyfe, Pei Ling Lai

Proceedings of the Advances in Neural Networks, 2007

Reinforcement Learning for Topographic Mappings.

Pei Ling Lai, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2007

Stochastic Weights Reinforcement Learning for Exploratory Data Analysis.

Ying Wu, Colin Fyfe, Pei Ling Lai

Proceedings of the Artificial Neural Networks, 2007

Immediate Reward Reinforcement Learning for Projective Kernel Methods.

Colin Fyfe, Pei Ling Lai

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.

Pei Ling Lai, Gayle Leen, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2006

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.

Pei Ling Lai, Colin Fyfe

Proceedings of the International Joint Conference on Neural Networks, 2006

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.

Pei Ling Lai, Gayle Leen, Colin Fyfe

Proceedings of the Artificial Neural Networks, 2006

2002

Probabilistic derivation and Multiple Canonical Correlation Analysis.

Pei Ling Lai

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

A Family of Canonical Correlation Networks.

Pei Ling Lai, Colin Fyfe

Neural Process. Lett., 2001

2000

Simultaneous Identification of Face and Orientation.

Pei Ling Lai, Colin Fyfe

Neural Process. Lett., 2000

Kernel and Nonlinear Canonical Correlation Analysis.

Pei Ling Lai, Colin Fyfe

Int. J. Neural Syst., 2000

Unsupervised Extraction of Structural Information from High Dimensional Visual Data.

Stephen McGlinchey, Darryl Charles, Pei Ling Lai, Colin Fyfe

Appl. Intell., 2000

Power Load Forecasting Using Neural Canonical Correlates.

Pei Ling Lai, Shang Jen Chuang, Colin Fyfe

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Canonical Correlation Analysis Neural Networks.

Colin Fyfe, Pei Ling Lai

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

A neural implementation of canonical correlation analysis.

Pei Ling Lai, Colin Fyfe

Neural Networks, 1999

1998

Canonical correlation analysis using artificial neural networks.

Pei Ling Lai, Colin Fyfe

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998