Description
Type of resource
text
Form
memorandums
Extent
1 text file
Place of creation
Stanford (Calif.)
May 1973
Language
English
Digital origin
reformatted digital
Creators/Contributors
- Author
- Thosar, Ravindra B.
Abstract/Contents
- Abstract
- Signature table training method consists of cumulative evaluation of a
- function (such as a probability density) at pre-assigned co-ordinate
- values of input parameters to the table. The training is conditional:
- based on a binary valued "learning" input to a table which is compared to
- the label attached to each training sample. Interpretation of an unknown
- sample vector is then equivalent of a table lookup, i.e. extraction of the
- function value stored at the proper co-ordinates. Such a technique is
- very useful when a large number of samples must be interpreted as in the case
- of samples must be interpreted as in the case of speech recognition and the
- time required for the trainng as well as for the recognition is at a premium.
- However, this method is limited by prhibitive storage requirements, even for
- a moderate number of parameters, when their relative independence cannot be
- assumed. This report investigates the conditions under which the higher
- dimensional probability density function can be decomposed so that the
- density estimate is obtained by a hierarchy of signature tables with
- consequent reduction in the storage requirement. Practical utility of the
- theoretical results obtained in the report is demonstrated by a vowel
- recognition experiment.
Subjects
- Subject
- Stanford Artificial Intelligence Laboratory
- Memo (Stanford Artificial Intelligence Laboratory)
- Artificial intelligence
- Genre
- Memorandums
Bibliographic information
- Finding Aid
-
- Memo
- AIM-198
- Location
- https://purl.stanford.edu/gk989nr0414
- SC1041
- Repository
- Stanford University. Libraries. Department of Special Collections and University Archives
Access conditions
- Use and reproduction:
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
- Copyright:
- Copyright © The Board of Trustees of the Leland Stanford Junior University. All rights reserved.