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Excerpt from Matching Patterns in Strings Subject to Multi-Linear Transformations
We mentioned five problems which are considered in this paper. Their formulation is motivated by problems which arise in fields like speech recognition and image processing, where human speech or images are represented as arrays of real numbers; In speech recognition an utterance, in the form of a continuous multidimensional function of time, is converted into a sequence of points in multidimensional space by sampling at regular time intervals.
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Matching Patterns in Strings Subject to Multi-Linear Transformations
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Paperback. Condizione: New. Print on Demand. This book presents a collection of algorithms for solving variations of the string matching problem, a fundamental problem in computer science with applications in computational biology, speech recognition, natural language processing, and database systems. The author presents efficient algorithms for several variations of the problem, including adding and multiplying transformations, linear, polynomial, and k-linear transformations. The author also provides algorithms for minimum distance versions of the transformation problems, where the goal is to find occurrences of the pattern that are within a certain distance of a given transformation. The book is well-written and provides a comprehensive overview of the topic, making it a valuable resource for researchers and practitioners in the field. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781332155156_0
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