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...

Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...

a new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. the proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. the properties of this similaritymeasure are investigated. it is shown that, the proposed measurehas some advantages in c...