BACKGROUND Medical students are expected to master the ability to interpret histopathologic images, a difficult and time-consuming process. A major problem is the issue of transferring information learned from one example of a particular pathology to a new example. Recent advances in cognitive science have identified new approaches to address this problem. METHODS We adapted a new approach fo...

OBJECTIVE To use multivariate statistical analysis of EEG data in order to separate EEGs of patients with Alzheimer's disease (AD) from controls. A group of individuals with mild cognitive impairment (MCI) was evaluated using the same methodology. Additionally, the effects of scopolamine on this separation are studied. METHODS Statistical pattern recognition (SPR) is used in conjunction with ...

Crowd analysis and abnormal trajectories detection are the hot topics in computer vision and pattern recognition. As more and more video monitoring equipments are installed in public places for public safety and public management, researches become urgent to learn the crowd behavior patterns through the trajectories obtained by the intelligent video surveillance technology. In this paper, the F...

A new approach examined two aspects of chess skill, long a popular topic in cognitive science. A powerful computer-chess program calculated the number and magnitude of blunders made by the same 23 grandmasters in hundreds of serious games of slow (“classical”) chess, regular “rapid” chess, and rapid “blindfold” chess, in which opponents transmit moves without ever seeing the actual position. Ra...

Clustering algorithms have been utilized in a wide variety of application areas. One of these algorithms is the Fuzzy C-Means algorithm (FCM). One of the problems with these algorithms is the time needed to converge. In this paper, a Fast Fuzzy C-Means algorithm (FFCM) is proposed based on experimentations, for improving fuzzy clustering. The algorithm is based on decreasing the number of dista...

Received: 16 April 2008 Revised: 5 June 2008 Accepted: 9 June 2008 Abstract Areview of research that has been carried out on datamining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement patterns and only few, isolated definitions of these exist. Since the research interest in this area has recently started to soar, we believe that...

Spherical Units can be used to construct dynamic reconfigurable consequential regions, the geometric bases for Shepard's (1987) theory of stimulus generalization in animals and humans. We derive from Shepard's (1987) generalization theory a particular multi-layer network with dynamic (centers and radii) spherical regions which possesses a specific mass function (Cauchy). This learning model gen...

This paper discusses the cognitive process (es) in recognizing instances of genre and the effects of generic features have on recognition of genre. Following the ESP tradition, the paper takes the communicative purpose as the defining feature of a genre and follow Martin’s stratified model of language and context in for the analysis. Based on a preliminary study conducted among three geologists...

We describe the cursive script recognition module of a cheque processing system currently under development at the Centre for Pattern Recognition and Machine Intelligence (CENPARMI). Common systems perform recognition either on a character by character basis, or on a word level. The present study investigates the recognition at a higher level of abstraction, at the sentence level. Our computati...

These notes describe how the SP theory of intelligence, and its embodiment in the SP machine, may help to realise cognitive computing, as described in the book Smart Machines. In the SP system, information compression and a concept of multiple alignment are centre stage. The system is designed to integrate such things as unsupervised learning, pattern recognition, probabilistic reasoning, and m...