Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The image comprises of the text-and content-based features. Images can be represented using both text-and content-based features. Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. But the main concern is image and text association, a cornerstone of cross-media web information fusion. Two methods have been described .The first method based on vague transformation measures the information similarity between the visual features and the textual features through a set of predefined domain-specific information categories. Another method uses a neural network to learn direct mapping between the visual and textual features by automatically and incrementally summarizing the associated features into a set of information templates. Despite their distinct approaches, our experimental results on a terrorist domain document set show that both methods are capable of learning associations between images and texts from a small training data set. Another method encompasses a variety of techniques relating to document summarization and text-and content-based image retrieval.
Dr. S.M. Riyazoddin. 1970. \u201cAnalysis of Cross-Media Web Information Fusion for Text and Image Association- A Survey Paper\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 109
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Dr. M. Priyanka, B.Sunita Devi, S.M. Riyazoddin, M. Janga Reddy (PhD/Dr. count: 1)
View Count (all-time): 223
Total Views (Real + Logic): 25203
Total Downloads (simulated): 10958
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
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The image comprises of the text-and content-based features. Images can be represented using both text-and content-based features. Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. But the main concern is image and text association, a cornerstone of cross-media web information fusion. Two methods have been described .The first method based on vague transformation measures the information similarity between the visual features and the textual features through a set of predefined domain-specific information categories. Another method uses a neural network to learn direct mapping between the visual and textual features by automatically and incrementally summarizing the associated features into a set of information templates. Despite their distinct approaches, our experimental results on a terrorist domain document set show that both methods are capable of learning associations between images and texts from a small training data set. Another method encompasses a variety of techniques relating to document summarization and text-and content-based image retrieval.
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