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Geometria de superfícies isentrópicas
Geometria de superfícies isentrópicas
A dinâmica topológica de inversões geométricas foi estudada em [6]. O espa ̧co de parâmetros das medidas de Markov com suporte no atrator do sistema é um aberto de R3 folheado por superfícies de nível compactas definidas pela entropia métrica: superfícies isentrópicas [7]. Neste artigo abordaremos o aspecto geométrico dessas superfícies. Em particular, classificaremos suas geodésicas e pontos umbílicos.
Deyvisson Ribeiro
Shivam Singh's CV
Shivam Singh's CV
Shivam Singh's CV
Shivam Singh
Solutions for Concurrency Control in DBMS : A Survey
Solutions for Concurrency Control in DBMS : A Survey
This is my first Survey paper and topic is from DBMS: Concurrency control solutions. I have compared different methods in this paper. As this is my first paper so critical review is highly needed
Faheem Feroz
Mohammad Abdul Wahab's Résumé
Mohammad Abdul Wahab's Résumé
My Resume, forked from DD
Abdul Wahab Abrar
y=c/x
y=c/x
\(y=\frac{c}{x}\)
Bowen
Juan Ignacio Basilio Flores's CV
Juan Ignacio Basilio Flores's CV
Juan Ignacio Basilio Flores's CV
JUAN IGNACIO BASILIO FLORES
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
Una revisión del método Distance Weighted Discrimination: ¿Una mejora de SVM en dimensiones altas?
Una revisión del método Distance Weighted Discrimination: ¿Una mejora de SVM en dimensiones altas?
El análisis estadístico de alta dimensión y tamaño de muestra pequeño (HDLSS) se está aplicando cada vez más en una amplia gama de contextos. En tales situaciones, se ve que el popular método de la Máquina de Vectores Soporte (SVM) sufre de ''Acumulación de datos'' en el margen, lo que puede disminuir la capacidad de generalización del modelo. Esto conduce al desarrollo de la Distance Weighted Discrimination para encontrar un hiperplano separador . En el presente trabajo se revisa y reproduce, con detalle en la derivación y solución de la función de pérdida que se resuelve usando SOCP, del método desarrollado en e implementado en el entorno R\cite{R}. Basado en el trabajo e implementación de se aplica y comparan resultados a conjuntos de datos reales y simulados (en medida de lo posible los mismos conjuntos de datos utilizados que en) Palabras clave: SVM, kernel, R (el ambiente de cómputo estadístico) y datos de alta dimensión con tamaño de muestra pequeño (data High Dimension Low Sample Size).
José Antonio garcia
Brachistochrone Problem Solved
Brachistochrone Problem Solved
Solving Brachistochrone Problem
Adrian D'Costa