Related Experiment Video
Updated: May 29, 2026

Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine
Published on: January 5, 2024
The sensitivity of the modified viterbi algorithm to the source statistics
1Department of Computer Science, Concordia University, Montreal, P.Q., Canada.
Abstract:
The modified Viterbi algorithm is a powerful, and increasingly used, tool for using contextual information in text recognition in its various forms. As yet, no known studies have been published concerning its robustness with respect to source statistics. This paper describes experiments performed to determine the sensitivity of the algorithm to variations in source statistics. The results of the experiments show that a character-recognition machine incorporating the modified Viterbi algorithm, using N-gram statistics estimated from source A does not deteriorate in performance when operating on a passage from source B even if A and B differ significantly in N-gram distributions or entropy.
Related Concept Videos
Estimation of k and VD of Aminoglycosides
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Statistical Significance
Expected Frequencies in Goodness-of-Fit Tests
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...

