Auto-associative models have been introduced as a new tool for building nonlinear Principal component analysis (PCA) methods. Such models rely on successive approximations of a dataset by manifolds of increasing dimensions. In this chapter, we propose a precise theoretical comparison between PCA and autoassociative models. We also highlight the links between auto-associative models, projection ...

This section considers how neural networks can be used as associative memory devices. It first describes what an associative memory is, and then moves on to describe associative memories based on feedforward neural networks and associative memories based on recurrent networks. The section also describes associative memory systems based on cognitive models. It also highlights the ability of neur...

In this article, a new technique for features extraction from SAR interferograms is presented. The technique combines the properties of auto-associative neural networks with those of more traditional approaches such as discrete Fourier transform or discrete wavelet transform. The feature extraction is chained to another neural module performing the estimation of the fault parameters characteriz...

Pyrolysis mass spectrometry (PyMS) was used to produce biochemical fingerprints from replicate frozen cell cultures of mouse macrophage hybridoma 2C11-12, human leukaemia K562, baby hamster kidney BHK 21/C13, and mouse tumour BW-O, and a fresh culture of Chinese hamster ovary CHO cells. The dimensionality of these data was reduced by the unsupervised feature extraction pattern recognition techn...

In industry and laboratories, statistical process control (SPC) is often used to check the performance of processes. The need for multivariate statistical process control (MSPC) becomes more important as the number of variables that can be measured increases. It is common practice to use principal component analyses (PCA) or partial least squares (PLS) to construct multivariate control charts. ...

The rise of blogs, forums, social networks and review websites in recent years has provided very accessible and convenient platforms for people to express thoughts, views or attitudes about topics of interest. In order to collect and analyse opinionated content on the Internet, various sentiment detection techniques have been developed based on an integration of part-of-speech tagging, negation...

A fundamental part of a computational system is its memory, which is used to store and retrieve data. Classical computer memories rely on the static approach and are very different from human memories. Neural network memories are based on auto-associative attractor dynamics and thus provide a high level of pattern completion. However, they are not used in general computation since there are pra...

We present in this paper a new facial feature localizer. It uses a kind of auto-associative neural network trained to localize specific facial features (like eyes and mouth corners) in orientation-free face-images (i.e. images where faces are rotated in-plane and out-ofplane). To increase localization accuracy, two extensions are presented. The first one uses space displacement neural networks ...