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Mathematical Methodologies in Pattern Recognition and Machine Learning : Contributions From the International Conference on Pattern Recognition Applications and Methods, 2012 by Martin Emms, Hector-Hugo Franco-Penya (auth.), Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred (eds.) is a nonfiction available to read on EtoBox.
What is Mathematical Methodologies in Pattern Recognition and Machine Learning : Contributions From the International Conference on Pattern Recognition Applications and Methods, 2012 about?
<p>this Volume Features Key Contributions From The International Conference On Pattern Recognition Applications And Methods, (icpram 2012,) Held In Vilamoura, Algarve, Portugal From February 6th-8th, 2012. the Conference Provided A Major Point Of Collaboration Between Researchers, Engineers And Practitioners In The Areas Of Pattern Recognition, Both From Theoretical And Applied Perspectives, With A Focus On Mathematical Methodologies. Contributions Describe Applications Of Pattern Recognition Techniques To Real-world Problems, Interdisciplinary Research, And Experimental And Theoretical Studies Which Yield New Insights That Provide Key Advances In The Field. </p><p> </p><p>this Book Will Be Suitable For Scientists And Researchers In Optimization, Numerical Methods, Computer Science, Statistics And for Differential Geometers And Mathematical Physicists. </p> On Order Equivalences Between Distance And Similarity Measures On Sequences And Trees -- Scalable Corpus Annotation By Graph Construction And Label Propagation -- Computing The Reeb Graph For Triangle Meshes With Active Contours -- Efficient Computation Of Voronoi Neighbors Based On Polytope Search In Pattern Recognition -- Esti
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It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Martin Emms, Hector-Hugo Franco-Penya (auth.), Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred (eds.)
- Publisher
- Springer-Verlag New York
- Published
- 2013
- Language
- EN
- ISBN
- 9781461450764
- Category
- nonfiction
- Subjects
- Science, Mathematics, Computer Science
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