Integrated visual vocabulary in latent Dirichlet allocation-based scene classification for IKONOS image

Scene classification based on latent Dirichlet allocation (LDA) is a more general modeling method known as a bag of visual words, in which the construction of a visual vocabulary is a crucial quantization process to ensure success of the classification. A framework is developed using the following new aspects: Gaussian mixture clustering for the quantization process, the use of an integrated visual vocabulary (IVV), which is built as the union of all centroids obtained from the separate quantization process of each class, and the usage of some features, including edge orientation histogram, CIELab color moments, and gray-level co-occurrence matrix (GLCM). The experiments are conducted on IKONOS images with six semantic classes (tree, grassland, residential, commercial/industrial, road, and water). The results show that the use of an IVV increases the overall accuracy (OA) by 11 to 12% and 6% when it is implemented on the selected and all features, respectively. The selected features of CIELab color moments and GLCM provide a better OA than the implementation over CIELab color moment or GLCM as individuals. The latter increases the OA by only ∼2 to 3%. Moreover, the results show that the OA of LDA outperforms the OA of C4.5 and naive Bayes tree by ∼20%. © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.JRS.8.083690]

Toeplitz operators on Dirichlet-Besov spaces

We study Toeplitz operators on the Besov spaces in the case of the open unit disk. We prove that a symbol satisfying a weak Lipschitz type condition induces a bounded Toeplitz operator. Such symbols do not need to be bounded functions or have continuous extensions to the boundary of the open unit disk. We discuss the problem of the existence of nontrivial compact Toeplitz operators, and also consider Fredholm properties and prove an index formula.

A Direct Numerov Sixth-order Numerical Scheme to Accurately Solve the Unidimensional Poisson Equation with Dirichlet Boundary Conditions

In this article, we present an analytical direct method, based on a Numerov three-point scheme, which is sixth order accurate and has a linear execution time on the grid dimension, to solve the discrete one-dimensional Poisson equation with Dirichlet boundary conditions. Our results should improve numerical codes used mainly in self-consistent calculations in solid state physics.

O problema de Dirichlet para a equação das superfícies mínimas em domínios não necessariamente convexos

Estudamos o problema de Dirichlet para a equação das superfícies mínimas em domínios limitados do plano. Provamos a existência e unicidade de gráficos mínimos sobre domínios limitados e não necessariamente convexos, com valores no bordo satisfazendo uma condição que denominamos condição da declividade limitada generalizada a qual, usando cilindros no lugar de planos, generaliza a condição clássica da declividade limitada. Com este resultado, dado um domínio limitado e suave qualquer do plano, conseguimos obter cotas explícitas para a norma C2 de dados no bordo deste domínio que garantem a existência de solução ao correspondente problema de Dirichlet.

Quasilinear dirichlet problems in RN with critical growth

In this study, a given quasilinear problem is solved using variational methods. In particular, the existence of nontrivial solutions for GP is examined using minimax methods. The main theorem on the existence of a nontrivial solution for GP is detailed.

Criação de fótons no efeito Casimir dinâmico em cavidade oscilante com condições de Neumann e Dirichlet

Consideramos um campo escalar não massivo num espaço-tempo bi-dimensional dentro de uma cavidade oscilante com condições de contorno mistas. Discutindo do fenômeno da criação de partículas, consideramos uma situação de ressonância paramétrica na qual a freqüência de oscilação da fronteira é duas vezes a freqüência do primeiro modo da cavidade estática. Por conveniência, supomos que a fronteira que está em repouso impõe ao campo a condição de Neumann, enquanto que a outra, em movimento não relativístico, impõe ao campo a condição de Dirichlet. Seguindo o procedimento desenvolvido por Dodonov e Klimov (Phys. Rev. A, 56, 2664 (1996)), calculamos o número de partículas criadas, a taxa de geração e a energia na cavidade. Comparamos nossos resultados aos encontrados na literatura para o caso Dirichlet-Dirichlet.

Il problema di Dirichlet per equazioni lineari ellittiche in forma di divergenza

The purpose of this dissertation is to prove that the Dirichlet problem in a bounded domain is uniquely solvable for elliptic equations in divergence form. The proof can be achieved by Hilbert space methods based on generalized or weak solutions. Existence and uniqueness of a generalized solution for the Dirichlet problem follow from the Fredholm alternative and weak maximum principle.

Problema di Cauchy-Dirichlet per l'equazione del calore di una sbarra omogenea

In questa tesi vengono forniti risultati sulle serie di Fourier e successivamente sulle serie di Fejér, utili per poter analizzare il cosiddetto problema di Cauchy-Dirichlet per l'equazione del calore di una sbarra omogenea. Lo scopo è trovare soluzioni classiche del problema che presenta come dato iniziale dapprima una funzione di classe C^1 e successivamente una funzione solamente continua.

Numerical Computation of a Certain Dirichlet Series Attached to Siegel Modular Forms of Degree Two

The Rankin convolution type Dirichlet series D-F,D-G(s) of Siegel modular forms F and G of degree two, which was introduced by Kohnen and the second author, is computed numerically for various F and G. In particular, we prove that the series D-F,D-G(s), which shares the same functional equation and analytic behavior with the spinor L-functions of eigenforms of the same weight are not linear combinations of those. In order to conduct these experiments a numerical method to compute the Petersson scalar products of Jacobi Forms is developed and discussed in detail.

Multilevel Latent Class Models with Dirichlet Mixing Distribution

Latent class analysis (LCA) and latent class regression (LCR) are widely used for modeling multivariate categorical outcomes in social sciences and biomedical studies. Standard analyses assume data of different respondents to be mutually independent, excluding application of the methods to familial and other designs in which participants are clustered. In this paper, we develop multilevel latent class model, in which subpopulation mixing probabilities are treated as random effects that vary among clusters according to a common Dirichlet distribution. We apply the Expectation-Maximization (EM) algorithm for model fitting by maximum likelihood (ML). This approach works well, but is computationally intensive when either the number of classes or the cluster size is large. We propose a maximum pairwise likelihood (MPL) approach via a modified EM algorithm for this case. We also show that a simple latent class analysis, combined with robust standard errors, provides another consistent, robust, but less efficient inferential procedure. Simulation studies suggest that the three methods work well in finite samples, and that the MPL estimates often enjoy comparable precision as the ML estimates. We apply our methods to the analysis of comorbid symptoms in the Obsessive Compulsive Disorder study. Our models' random effects structure has more straightforward interpretation than those of competing methods, thus should usefully augment tools available for latent class analysis of multilevel data.