This paper deals with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for unconstrained ...
Abstract. This paper deals with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for ...
This paper deals with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for unconstrained ...
Abstract: This paper deals with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for ...
How conditional independence assumption affects handwritten character segmentation. Maragoudakis M., Kavallieratou E., Fakotakis N., Kokkinakis G. Expand.
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This paper deals with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for unconstrained ...
How Conditional Independence Assumption Affects Handwritten Character Segmentation pp. 0246. An Efficient Method for Tuning Handwriting Parameters pp. 0251. A ...
How conditional independence assumption affects handwritten character segmentation · M. MaragoudakisE. KavallieratouN. FakotakisG. Kokkinakis. Computer Science.
G embeds the following conditional independence assumption: Each variable Xi is independent of its non-descendants given its parents. Θ includes information ...
Conditional Independence refers to the situation where a variable is independent of another set of variables given a specific set of variables.