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An application of the Ncut algorithm, with an open-source implementation (in the R environment).
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.
José Antonio garcia
Integration of Some Elementary Integrals
Integration of Some Elementary Integrals
Integration of some elementary integrals
Adrian D'Costa
Brachistochrone Problem Solved
Brachistochrone Problem Solved
Solving Brachistochrone Problem
Adrian D'Costa
Proof of function's representation with Taylor Series
Proof of function's representation with Taylor Series
Proof of a function's representation with Taylor Series
Adrian D'Costa
Multiport conversions between S, Z, Y, h, ABCD, and T parameters (IEEE INMMiC 2018 Poster)
Multiport conversions between S, Z, Y, h, ABCD, and T parameters (IEEE INMMiC 2018 Poster)
«Multiport conversions between S, Z, Y, h, ABCD, and T parameters.» Integrated Nonlinear Microwave and Millimetre-wave Circuits (INMMIC 2018), Brive-la-gaillarde, France, July 2018. Article: http://www.microwave.fr/publications/151.pdf Poster: http://www.microwave.fr/publications/151p.pdf
Tibault Reveyrand
ProofOfEuler'sFormula
ProofOfEuler'sFormula
Proof of Euler's Formula
Adrian D'Costa
Calculating the Probability for Winning a 649 Lottery
Calculating the Probability for Winning a 649 Lottery
Calculating the Probability for Winning a 649 Lottery using Probability.
Adrian D'Costa
Deriving the summation formula of any Converged Arithmetic Series
Deriving the summation formula of any Converged Arithmetic Series
I have shown here how to derive the summation of a convergent Arithmetic series and get two results as answers
Adrian D'Costa
Partha Pratim Saha's Curriculum Vitae
Partha Pratim Saha's Curriculum Vitae
Partha Pratim Saha's CV
Parthapratim Saha