CD-ROM in back pocket comprises experimental results and executables.System requirements: Unix workstation or PC with Windows 95 or Windows NT. The reports output by EPrep. can be viewed with a web browser such as Netscape or Microsoft Internet Explorer through the top level HTML page.Bibliography: p. 251-261.Computer data and programsHTML reports, data and figures generated by EPrepxxiv, 261 p. : ill. ; 30 cm. + 1 computer laser optical disk ; 4 3/4".Proposes a framework for automatic feature extraction called generalised pre-processor.Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 199
This paper aims to provide an effective interface for progressive refinement of pattern-based inform...
Face recognition system has come to a wide area drawing attention for researchers since a long perio...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Feature extraction and evaluation are two procedures common to the development of any pattern recogn...
Tech ReportIn an automatic pattern recognition system, the processor that selects and measures featu...
Several approaches have been described for the automatic unsupervised acquisition of patterns for ...
The first step for every machine learning algorithm in a computer vision problem is to extract featu...
Feature extraction is a procedure aimed at selecting and transforming a data set in order to increas...
Abstract — Extraction of features can be viewed as a preprocessing step which eliminates distracting...
A major goal of imaging systems is to help doctors, scientists, engineers, and analysts identify pat...
Image processing is a method to convert an image into digital form and perform some operations on it...
Developing machine learning techniques that can recognize and understand natural language text have ...
Feature extraction is considered to be an impor-tant problem in pattern recognition. The mapping met...
The traditional model of pattern recognition (since the late 50's) Fixed/engineered features (o...
Part of the Computer Sciences Commons This Thesis is brought to you for free and open access by Digi...
This paper aims to provide an effective interface for progressive refinement of pattern-based inform...
Face recognition system has come to a wide area drawing attention for researchers since a long perio...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Feature extraction and evaluation are two procedures common to the development of any pattern recogn...
Tech ReportIn an automatic pattern recognition system, the processor that selects and measures featu...
Several approaches have been described for the automatic unsupervised acquisition of patterns for ...
The first step for every machine learning algorithm in a computer vision problem is to extract featu...
Feature extraction is a procedure aimed at selecting and transforming a data set in order to increas...
Abstract — Extraction of features can be viewed as a preprocessing step which eliminates distracting...
A major goal of imaging systems is to help doctors, scientists, engineers, and analysts identify pat...
Image processing is a method to convert an image into digital form and perform some operations on it...
Developing machine learning techniques that can recognize and understand natural language text have ...
Feature extraction is considered to be an impor-tant problem in pattern recognition. The mapping met...
The traditional model of pattern recognition (since the late 50's) Fixed/engineered features (o...
Part of the Computer Sciences Commons This Thesis is brought to you for free and open access by Digi...
This paper aims to provide an effective interface for progressive refinement of pattern-based inform...
Face recognition system has come to a wide area drawing attention for researchers since a long perio...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...