Add to ORKGIn this thesis, we report on our design and implementation of a post processing system for Optically Recognized text. The system is based on first order Hidden Markov Model (HMM). The Maximum Likelihood algorithm is used to train the system with over 150 thousand characters. The system is also tested on a file containing 5688 characters. The percentage of errors detected and corrected is 11.76% with a recall of 10.16% and precision of 100
This paper describes an approach to identify individuals with suspicious objects in a crowd. It is b...
Submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for...
Missing data bias results if adjustments are not made accordingly. This thesis addresses this issue ...
RGB Color Space is widely used for face segmentation in recent years. However, the RGB color space i...
Historically, the analysis of ship motion and loading responses has been performed in the frequency ...
A Hidden Markov model (HMM) is a statistical model in which the system being modeled is assumed to b...
This study was designed to explore the preferred characteristics of mate selection. Additionally, th...
The aging population has increased the importance of identifying and understanding mild cognitive im...
This project analyzed the giving data of Worcester Polytechnic Institute\u27s alumni and other const...
This paper proposes a hidden Markov model for the signal of U.S. recessions. The model uses the spre...
In this thesis we investigate the processes involved in learning to play a game. It was inspired by ...
The problem of differentiating the informational content of coding (exons) and non-coding (introns) ...
Autonomic software is typically characterized by dynamic adaptation, a self-management process in wh...
Tri-chord sign structures are a frequently used sign type within the Commonwealth of Pennsylvania. H...
Communication is the key to express one’s thoughts and ideas clearly. Amongst all forms of communica...
This paper describes an approach to identify individuals with suspicious objects in a crowd. It is b...
Submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for...
Missing data bias results if adjustments are not made accordingly. This thesis addresses this issue ...
RGB Color Space is widely used for face segmentation in recent years. However, the RGB color space i...
Historically, the analysis of ship motion and loading responses has been performed in the frequency ...
A Hidden Markov model (HMM) is a statistical model in which the system being modeled is assumed to b...
This study was designed to explore the preferred characteristics of mate selection. Additionally, th...
The aging population has increased the importance of identifying and understanding mild cognitive im...
This project analyzed the giving data of Worcester Polytechnic Institute\u27s alumni and other const...
This paper proposes a hidden Markov model for the signal of U.S. recessions. The model uses the spre...
In this thesis we investigate the processes involved in learning to play a game. It was inspired by ...
The problem of differentiating the informational content of coding (exons) and non-coding (introns) ...
Autonomic software is typically characterized by dynamic adaptation, a self-management process in wh...
Tri-chord sign structures are a frequently used sign type within the Commonwealth of Pennsylvania. H...
Communication is the key to express one’s thoughts and ideas clearly. Amongst all forms of communica...
This paper describes an approach to identify individuals with suspicious objects in a crowd. It is b...
Submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for...
Missing data bias results if adjustments are not made accordingly. This thesis addresses this issue ...