We present an attention system that models the dynamics that occur in memory in response to stimuli, which includes habituation, novelty detection, and forgetting. We demonstrate how such an attention system can be used as a trigger for learning perception-action mappings. We discuss the value of social situatedness in the form demonstrator-learner interactions, and show results from both simul...

Antibodies against Ins(1,4,5)P3 were raised by immunizing rabbits with two types of InsP3-BSA conjugates which were synthesized by covalently coupling Ins(1,4,5)P3 to the carrier protein via alkyl linkages. The anti-Ins(1,4,5)P3 antibody was detected by a novel ELISA using Ins(1,4,5)P3-immobilized microtitre plates. Both antiserum preparations showed specific binding with Ins(1,4,5)P3, with tit...

Novelty Detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. This paper presents the early results of the use of a One-Class SVM approach to detect novel classes in two Bioinformatics databases. The results are compatible with the theory and inspire further investigations.

We show that the novelty detection approach is a viable solution to the class imbalance and examine which approach is suitable for different degrees of imbalance. In experiments using SVM-based classifiers, when the imbalance is extreme, novelty detectors are more accurate than balanced and unbalanced binary classifiers. However, with a relatively moderate imbalance, balanced binary classifiers...

We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty detection is the problem of classifying new observations from previous samples, as either novel or belonging to the background class. An adaptive background model, based on a linear PCA model in combination with local, spatial tr...

Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing essential means to reduce cost, increase productivity, improve quality and prevent damage to the machine or work-piece. Turning operations are considered one of the most c...

Clustering algorithms generally suffer from some well-known problems for which the Self Organizing Maps (SOM) algorithms are adept at handling. While there are many variants of the SOM algorithm, software programmes that implement the SOM algorithms have tended to give varying results even when tested on the same data sets. This can have serious implications when the goal of the clustering is n...