Pattern Recognition in Auditory Data Representation
Title | Pattern Recognition in Auditory Data Representation PDF eBook |
Author | Steven Frysinger |
Publisher | |
Pages | |
Release | 1989 |
Genre | |
ISBN |
Auditory and Visual Pattern Recognition
Title | Auditory and Visual Pattern Recognition PDF eBook |
Author | David J. Getty |
Publisher | Routledge |
Pages | 236 |
Release | 2017-03-31 |
Genre | Psychology |
ISBN | 1315532603 |
The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem – a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.
The Dissimilarity Representation for Pattern Recognition
Title | The Dissimilarity Representation for Pattern Recognition PDF eBook |
Author | El?bieta P?kalska |
Publisher | World Scientific |
Pages | 634 |
Release | 2005 |
Genre | Computers |
ISBN | 9812565302 |
This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.
Constructing a Representation of Periodicity for Temporal Pattern Recognition in a Vertebrate Auditory System
Title | Constructing a Representation of Periodicity for Temporal Pattern Recognition in a Vertebrate Auditory System PDF eBook |
Author | James Kozloski |
Publisher | |
Pages | 295 |
Release | 1999 |
Genre | |
ISBN |
PATTERN RECOGNITION
Title | PATTERN RECOGNITION PDF eBook |
Author | Syed Thouheed Ahmed |
Publisher | MileStone Research Publications |
Pages | 156 |
Release | 2021-08-01 |
Genre | Technology & Engineering |
ISBN | 9354931375 |
This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part, the initial foundation aspects of pattern recognition is discussed with reference to probabilities role in influencing a pattern occurrence, pattern extraction and properties. Introduction: Definition of Pattern Recognition, Applications, Datasets for Pattern Recognition, Different paradigms for Pattern Recognition, Introduction to probability, events, random variables, Joint distributions and densities, moments. Estimation minimum risk estimators, problems. Representation: Data structures for Pattern Recognition, Representation of clusters, proximity measures, size of patterns, Abstraction of Data set, Feature extraction, Feature selection, Evaluation. Par t - II In Part - II of the text, the mathematical representation and computation algorithms for extracting and evaluating patterns are discussed. The basic algorithms of machine learning classifiers with Nearest neighbor and Naive Bayes is reported with value added validation process using decision trees. Computational Algorithms: Nearest neighbor algorithm, variants of NN algorithms, use of NN for transaction databases, efficient algorithms, Data reduction, prototype selection, Bayes theorem, minimum error rate classifier, estimation of probabilities, estimation of probabilities, comparison with NNC, Naive Bayesclassifier, Bayesian belief network. Decision Trees: Introduction, Decision Tree for Pattern Recognition, Construction of Decision Tree, Splittingat the nodes, Over-fitting& Pruning, Examples.
Auditory Physiology and Perception
Title | Auditory Physiology and Perception PDF eBook |
Author | Y. Cazals |
Publisher | Elsevier |
Pages | 676 |
Release | 2013-10-22 |
Genre | Medical |
ISBN | 1483161056 |
Auditory Physiology and Perception documents the proceedings of the 9th International Symposium on Hearing held in Careens, France, 9-14 June 1991. The aim of the symposium was to promote exchanges between hearing scientists working with different approaches from cell biology to psychology. The volume is organized into 10 parts. Part I contains papers on the biology of inner ear cells. Part II presents studies on auditory periphery functioning. Part III examines frequency selectivity while Part IV contains papers that deal with the subject of pitch. The papers in Part V examine the coding of intensity. Parts VI and VII discuss temporal analyses and spectral shape analysis, respectively. Part VIII takes up spectro-temporal processing. Part IX covers binaural interactions and sound localization. The studies in Part X focus on pathologies, such as the relations between evoked otoacoustic emissions and pure tone audiometry and the effect of short duration acoustic trauma on activity of single neurons in the ventral cochlear nucleus. The final chapter of the text is a tribute to Professor Zwicker, a leading scientist in hearing, who passed away some months before the symposium.
A Computational Model of Auditory Pattern Recognition
Title | A Computational Model of Auditory Pattern Recognition PDF eBook |
Author | Sven E. Anderson |
Publisher | |
Pages | 340 |
Release | 1994 |
Genre | |
ISBN |