Level set extentions

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  • Chapter 1 is for readers who have less background in partial differential equations (PDEs). It contains materials which will be useful in understanding some of the jargon related to the rest of the chapters in this book. A discussion about the classification of the PDEs is presented. Here, we outline the major analytical methods. Later in the chapter, we introduce the most important numerical techniques, namely the finite difference method and finite element method. In the last section we briefly introduce the level set method.

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  • Bacon (1989) rightly said, “Reading makes a full man, conference a ready man, and writing an exact man”. Writing is an important medium and it is used for different purposes. Writing performs many functions in a person’s day to day life in different areas like academic, official, media, social, cultural and personal settings. Communication to a major extent is carried on through the medium of writing – personal correspondence, telegrams, circulars, reports, memos, minutes of meetings, instructions, email messages, assessment reports, project reports etc.

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  • This paper proposes the use of local histograms (LH) over character n-grams for authorship attribution (AA). LHs are enriched histogram representations that preserve sequential information in documents; they have been successfully used for text categorization and document visualization using word histograms. In this work we explore the suitability of LHs over n-grams at the character-level for AA. We show that LHs are particularly helpful for AA, because they provide useful information for uncovering, to some extent, the writing style of authors.

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