A study on the document zone content classification problem

Keyphrases

• Feature Vector 100%
• Classification Problem 100%
• Content Classification 100%
• Probabilistic Model 66%
• Performance Evaluation 66%
• Font Size 66%
• Document Image 66%
• Contextual Constraints 66%
• Logos 33%
• Testing Data 33%
• Training Data 33%
• Classification Performance 33%
• Hidden Markov Model 33%
• Classification Results 33%
• Overfitting 33%
• Classification Algorithms 33%
• Image Database 33%
• Evaluation Protocol 33%
• Technical Documents 33%
• Content Type 33%
• Decision Tree 33%
• False Alarm Rate 33%
• Algorithm Accuracy 33%
• Decision Tree Classifier 33%
• Optimal Classification 33%
• Halftoning 33%
• Map Drawing 33%
• Document Image Understanding 33%
• Scientific Documents 33%
• Class Context 33%
• Neighbouring Zones 33%
• Image Understanding Systems 33%
• Model Decision 33%
• Zoning Classification 33%

Computer Science

• Feature Vector 100%
• document image 100%
• Classification Problem 100%
• Performance Evaluation 66%
• Training Dataset 33%
• Decision Tree Model 33%
• Image Understanding 33%
• classification result 33%
• Image Database 33%
• Classification Algorithm 33%
• Classification Performance 33%
• False Alarm Rate 33%
• Decision Tree Classifier 33%
• Testing Data Set 33%
• Fitting Problem 33%
• Cross-Validation 33%