The classical pattern recognition problems are considered. A model of learning Boolean formulas is implemented. Computational procedures for constructing non-reducible descriptors and clusters are brieey discussed. Possible applications of non-reducible de-scriptors to ECG analysis and ECG recognition are suggested.

The mixtures of experts (ME) model ooers a modular structure suitable for a divide-and-conquer approach to pattern recognition. It has a probabilistic interpretation in terms of a mixture model, which forms the basis for the error function associated with MEs. In this paper, it is shown that for classiication problems the minimization of this ME error function leads to ME outputs estimating the...

Interestingly, syntactic pattern recognition for seismic oil exploration that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel...

This is the final report for the term project in CSE 581 (Pattern Recognition). The goal of this project is to develop a character recognition system that is able to recognize and classify a subset of the Korean language. Training and test samples where obtained from Korean books, additional sets created by applying a degradation model to the obtained samples. Using geometrical, statistical and...

The authentication of people using Iris based recognition system is the most reliable biometric traits due to its stability, invariant and distinctive features for personal identification. Iris recognition consists of localization of the Iris region, extracting Iris features, generation of data set of Iris images and then Iris pattern recognition. This paper presents Iris recognition system bas...

This paper presents a survey of different methods which describe the recognition of body and arm gesture. The methods presented in this work cover the topic of tracking and detection of arm and body gestures. But it will also present methods of recognition with help of pattern recognition methods.

To extract a set of suitable features from all Chinese characters for the purpose of classiication is essential in the design of an Optical Character Recognition (OCR) system for printed Chinese characters. Moment descriptors have been developed as features in pattern recognition since the moment method was rst introduced. The moment method is diierent from other feature extraction methods used...

In press, Cognitive Science 2 Abstract The analysis of pure word deafness (PWD) suggests that speech perception, construed as the integration of acoustic information to yield representations that enter into the linguistic computational system, (i) is separable in a modular sense from other aspects of auditory cognition and (ii) is mediated by the posterior superior temporal cortex in both hemis...

There is no agreement on the pattern of recognition memory deficits characteristic of patients diagnosed with mild cognitive impairment (MCI). Whereas lower performance in recollection is the hallmark of MCI, there is a strong controversy about possible deficits in familiarity estimates when using recognition memory tasks. The aim of this research is to shed light on the pattern of responding i...

Facial expression provides a crucial behavioral measure for studies of human emotion, cognitive processes, and social interaction. In this paper, we focus on recognizing facial action units (AUs), which represent the subtle change of facial expressions. We adopt ICA (independent component analysis) as the feature extraction and representation method and SVM (support vector machine) as the patte...