Continuous latent variable models for dimensionality reduction and sequential data reconstruction

By M. A. Carreira-Perpiñán. 2001

97 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Richard Jensen
2. Qiang Shen
3. Qinghua Hu
4. Jianhua Dai
5. Kai Keng Ang
6. Ren-hong Diao
7. Pradipta Maji
8. Daren Yu

Citations in the corpus

• Deep learning in neural networks: An overview (2014, neutral): “…1986; Ritter & Kohonen, 1989; Rubner & Schulten, 1990; Sanger, 1989; Saund, 1994; von der Malsburg, 1973; Watanabe, 1985; Willshaw & von der Malsburg, 1976); see also post-2000 work (e.g., Carreira-Perpinan, 2001; Franzius, Sprekeler, & Wiskott, 2007; Waydo & Koch, 2008; Wiskott & Sejnowski, 2002).”
• Fuzzy-Rough Sets Assisted Attribute Selection (2007, background): “RSAR[7]providesafilter-basedtoolbywhichknowledgemay be extracted from a domain in a concise way; retaining the information content whilst reducing the amount of knowledge involved.”
• Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008, background): “There are many factors that motivate the inclusion of a dimensionality reduction (DR) step in a variety of problem-solving systems [45].”