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2010 – 2019
- 2014
[c17]Alfred Inselberg, Pei Ling Lai:
Visualization and Data Mining for High Dimensional Data - -With Connections to Information Retrieval. RuSSIR 2014: 142-184- [c16]Alfred Inselberg, Pei Ling Lai:
Parallel coordinates are better than they... look! SIGGRAPH ASIA Courses 2014: 15:1-15:33 - 2012
- [c15]Pei Ling Lai, Yang Jin Liang, Alfred Inselberg:
Geometric Divide and Conquer Classification for High-dimensional Data. DATA 2012: 79-82
2000 – 2009
- 2008
- [j7]Colin Fyfe, Gayle Leen, Pei Ling Lai:
Gaussian processes for canonical correlation analysis. Neurocomputing 71(16-18): 3077-3088 (2008) - [j6]Ying Wu, Colin Fyfe, Pei Ling Lai:
Two forms of immediate reward reinforcement learning for exploratory data analysis. Neural Networks 21(6): 847-855 (2008) - [c14]Pei Ling Lai, Colin Fyfe:
Bregman Divergences and Multi-dimensional Scaling. ICONIP (2) 2008: 935-942 - [c13]Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai:
A topology preserving mapping for face recognition. IJCNN 2008: 1964-1968 - 2007
- [c12]Colin Fyfe, Pei Ling Lai:
Immediate Reward Reinforcement Learning for Projective Kernel Methods. ESANN 2007: 307-312 - [c11]Ying Wu, Colin Fyfe, Pei Ling Lai:
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. ICANN (1) 2007: 668-676 - [c10]Pei Ling Lai, Colin Fyfe:
Reinforcement Learning for Topographic Mappings. IJCNN 2007: 1354-1359 - [c9]Colin Fyfe, Pei Ling Lai:
Reinforcement Learning Reward Functions for Unsupervised Learning. ISNN (1) 2007: 397-402 - 2006
- [c8]Pei Ling Lai, Gayle Leen, Colin Fyfe:
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. ICANN (2) 2006: 302-310 - [c7]Pei Ling Lai, Gayle Leen, Colin Fyfe:
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. IJCNN 2006: 1073-1077 - [c6]Pei Ling Lai, Colin Fyfe:
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. IJCNN 2006: 1143-1149 - 2002
- [c5]Pei Ling Lai:
Probabilistic derivation and Multiple Canonical Correlation Analysis. ESANN 2002: 445-452 - 2001
- [j5]Pei Ling Lai, Colin Fyfe:
A Family of Canonical Correlation Networks. Neural Process. Lett. 14(2): 93-105 (2001) - 2000
- [j4]Stephen McGlinchey, Darryl Charles
, Pei Ling Lai, Colin Fyfe:
Unsupervised Extraction of Structural Information from High Dimensional Visual Data. Appl. Intell. 12(1-2): 63-74 (2000) - [j3]Pei Ling Lai, Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis. Int. J. Neural Syst. 10(5): 365-377 (2000) - [j2]Pei Ling Lai, Colin Fyfe:
Simultaneous Identification of Face and Orientation. Neural Process. Lett. 12(1): 33-40 (2000) - [c4]Pei Ling Lai, Shang Jen Chuang, Colin Fyfe:
Power Load Forecasting Using Neural Canonical Correlates. ICPR 2000: 2455-2458 - [c3]Colin Fyfe, Pei Ling Lai:
Canonical Correlation Analysis Neural Networks. ICPR 2000: 2977-2980 - [c2]Pei Ling Lai, Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis. IJCNN (4) 2000: 614
1990 – 1999
- 1999
- [j1]Pei Ling Lai, Colin Fyfe:
A neural implementation of canonical correlation analysis. Neural Networks 12(10): 1391-1397 (1999) - 1998
- [c1]Pei Ling Lai, Colin Fyfe:
Canonical correlation analysis using artificial neural networks. ESANN 1998: 363-368
Coauthor Index
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