Neural Nets(NN) have been described as a solution looking for a problem. In the last conference, Artificial InteIligence(A1) was considered in the accelerator context. While good for local surveillance and control, its use for large complex systems(LCS) was much more restricted. By contrast, NN provide a good metaphor for LCS. It can be argued that they are logically equivalent to multi-loop fe...

Detection of pathogen by pattern recognition receptors leads to activation of inflammasome which plays a crucial role in immune system. The inflammasome regulates the release of cytokines, such as interleukin (IL)-1β, IL-18 and high-mobility group box 1 (HMGB1). Double-stranded RNA-dependent protein kinase (PKR) is a critical component of an inflammatory complex. Recently, the critical role of ...

We present results for long term and intermediate term prediction algorithms applied to a simple mechanical model of a fault. We use long term prediction methods based, for example, on the distribution of repeat times between large events to establish a benchmark for predictability in the model. In comparison, intermediate term prediction techniques, analogous to the pattern recognition algorit...

Feature extraction has been recognized as a useful technique for pattern recognition. Feature extraction is accomplished by constructing a mapping from the measurement space to a feature space. Often, the mapping is chosen from an arbitrarily specified parametric family by optimizing the parameters with respect to a separability criterion. In the approach described here, a scalar distance funct...

The field of face recognition is increasingly investigated for access control, face based search, passport processing, security, surveillance, etc. applications. Performance of face recognition systems under constrained environment is quite satisfactory, but face recognition in unconstrained environment is yet a challenging problem due to key technical challenging issues. Varying illumination i...

Nonlinear spatial transforms are established in feature extraction and pattern recognition. This paper describes a method for calculating the cyclic crosscorrelation with the help of generalized circular transforms. Based on the crosscorrelation property, a nonlinear translation invariant autocorrelation and a complete set of simplified translation invariants, called -spectrum, can G̃ be deduced...

Texture analysis and classification are some of the problems which have been paid much attention by image processing scientists since late 80s. If texture analysis is done accurately, it can be used in many cases such as object tracking, visual pattern recognition, and face recognition. Since now, so many methods are offered to solve this problem. Against their technical differences, all of the...

Perceiving the visual world around us is one of the most basic acts of everyday experience. Although pattern recognition may seem effortless, it is actually a complex problem--so much so that the visual areas responsible for this process occupy up to one-half of our cortex. Fundamental to our perception is the transformation of the light array that falls on our retinae into coherent surfaces an...

Nitric oxide (NO) is an effector of the innate immune system. The innate immune system is a set of rapid host responses to pathogens. Cells of the innate immune system – macrophages, neutrophils and natural killer cells – use pattern recognition receptors to recognize molecular patterns associated with pathogens (Medzhitov, 2001). Activated macrophages then inhibit pathogen replication by relea...

Several methods for computing observer motion from monocular and stereo image sequences have been proposed. However, accurate positioning over long distances requires a higher level of robustness than previously achieved. This paper describes several mechanisms for improving robust-ness in the context of a maximum-likelihood stereo ego-motion method. We demonstrate that even a robust system wil...