Swarnendu Ghosh

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Text Analytics using semantic information is the latest trend of research due to its potential to represent better the texts content compared with the bag-of-words approaches. On the contrary, representation of semantics through graphs has several advantages over the traditional representation of feature vector. Therefore, error tolerant graph matching(More)
Contour detection forms one of the primitive, yet inherent operations of computer vision systems. Owing to the significance of this fundamental task, a number of approaches have been proposed till date. This paper characterizes the functionality of a multi-scale feature-based edge detection strategy that exploits joint information from different(More)
Conceptual interpretation of languages has gathered peak interest in the world of artificial intelligence. The challenge in modeling various complications involved in a language is the main motivation behind our work. Our main focus in this work is to develop conceptual graphical representation for image captions. We have used discourse representation(More)
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