Add to ORKG"April 25, 1960." Based on a thesis submitted to M.I.T. Dept. of Electrical Engineering, August 24, 1959.Bibliography: p. 75-79.Army Signal Corps Contract DA36-039-sc-78108. Dept. of the Army Task 3-99-20-001 and Project 3-99-00-000.George S. Sebestyen
Recognition or more specifically Pattern or Object recognition is a typical characteristic of human ...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
This book considers classical and current theory and practice, of supervised, unsupervised and semi-...
Pattern recognition algorithms, and mathematical techniques of estimation, decision making, and opti...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
The classification of signals through the use of pattern recognition techniques may be viewed as a s...
Call number: LD2668 .R4 CMSC 1987 N54Master of ScienceComputing and Information Science
Pattern recognition by automata such as digital and/or analog computers essentially consists in reco...
Pattern recognition is the scientific discipline that focuses on the classification of data, objects...
A comparison of the reliability of three pattern recognition classifiers has been made using data ha...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Pattern recognition is a very general technology useful for the automatic detection and classifi-cat...
Pattern recognition aims to make the process of learning and detection of patterns explicit, such th...
Scope and Method of Study: An expansion and modification of the Bledsoe-Browning n-truple technique ...
Recognition or more specifically Pattern or Object recognition is a typical characteristic of human ...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
This book considers classical and current theory and practice, of supervised, unsupervised and semi-...
Pattern recognition algorithms, and mathematical techniques of estimation, decision making, and opti...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
The classification of signals through the use of pattern recognition techniques may be viewed as a s...
Call number: LD2668 .R4 CMSC 1987 N54Master of ScienceComputing and Information Science
Pattern recognition by automata such as digital and/or analog computers essentially consists in reco...
Pattern recognition is the scientific discipline that focuses on the classification of data, objects...
A comparison of the reliability of three pattern recognition classifiers has been made using data ha...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Pattern recognition is a very general technology useful for the automatic detection and classifi-cat...
Pattern recognition aims to make the process of learning and detection of patterns explicit, such th...
Scope and Method of Study: An expansion and modification of the Bledsoe-Browning n-truple technique ...
Recognition or more specifically Pattern or Object recognition is a typical characteristic of human ...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
This book considers classical and current theory and practice, of supervised, unsupervised and semi-...