980 resultados para Hasse invariant


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2000 Mathematics Subject Classification: 13N15, 13A50, 16W25.

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2000 Mathematics Subject Classification: 13N15, 13A50, 13F20.

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2000 Mathematics Subject Classification: 54C35, 54D20, 54C60.

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The contributions of this dissertation are in the development of two new interrelated approaches to video data compression: (1) A level-refined motion estimation and subband compensation method for the effective motion estimation and motion compensation. (2) A shift-invariant sub-decimation decomposition method in order to overcome the deficiency of the decimation process in estimating motion due to its shift-invariant property of wavelet transform. ^ The enormous data generated by digital videos call for an intense need of efficient video compression techniques to conserve storage space and minimize bandwidth utilization. The main idea of video compression is to reduce the interpixel redundancies inside and between the video frames by applying motion estimation and motion compensation (MEMO) in combination with spatial transform coding. To locate the global minimum of the matching criterion function reasonably, hierarchical motion estimation by coarse to fine resolution refinements using discrete wavelet transform is applied due to its intrinsic multiresolution and scalability natures. ^ Due to the fact that most of the energies are concentrated in the low resolution subbands while decreased in the high resolution subbands, a new approach called level-refined motion estimation and subband compensation (LRSC) method is proposed. It realizes the possible intrablocks in the subbands for lower entropy coding while keeping the low computational loads of motion estimation as the level-refined method, thus to achieve both temporal compression quality and computational simplicity. ^ Since circular convolution is applied in wavelet transform to obtain the decomposed subframes without coefficient expansion, symmetric-extended wavelet transform is designed on the finite length frame signals for more accurate motion estimation without discontinuous boundary distortions. ^ Although wavelet transformed coefficients still contain spatial domain information, motion estimation in wavelet domain is not as straightforward as in spatial domain due to the shift variance property of the decimation process of the wavelet transform. A new approach called sub-decimation decomposition method is proposed, which maintains the motion consistency between the original frame and the decomposed subframes, improving as a consequence the wavelet domain video compressions by shift invariant motion estimation and compensation. ^

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Este trabajo presentado, direccionado a la defensa de la disertación de maestría, intitulada ¿Lo que se quiere imagen, lo que se quiere deseo?: Entre el fabular de deseos y las construcciones imagéticas en la prosa de Fiama Hasse Pais Brandão, discute hasta donde el deseo impulse la imagen y hasta donde esta imagen es tocada por este deseo, visualizando dentro de un sistema literario poético y singular, las construcciones de la imagen junto a las fabulaciones de deseos, lo que nos expone delante de procesos de semiotización por medio de la escrita, de subjetivación, de vértigo, de sensibilización para los efectos y deseos en cuanto producción de sentido y multiplicidades estéticas en cuya letra transgresiva se aventura. En este sentido, el análisis transitará entre el discurso erótico y los problemas fundamentales que este pode, bien como el proceso de construcción de imagen, recortado por vía de discursos problematizados por el lenguaje presentado por la autora Fiama Hasse Pais Brandão. Para tanto, colocase como escopo una investigación norteada por autores como Bataille, Roland Barthes, Luiz Roberto Monzani, Suely Rolnik, Walter Benjamin, Georges Didi-Huberman, Maurice Blanchot, Félix Guattari, Gilles Deleuze, dentre otros que puedan transitar por las relaciones, en este estudio, establecidas, constituyendo el corpus teórico y de discusión, atendiendo al caráter cualitativo implicito en el desarrollo de esta disertación. Cuanto al corpus literario, este es compuesto por los contos trídos en Cuentos de la imagen (2005), de manera a constituiren cuerpo-subjetividad, envolviendo ideas, afectos, perceptos y imagens.

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Si danno la definizione formale e alcune proprietà elementari della funzione zeta di Hasse-Weil. Si forniscono poi alcuni esempi di calcolo della stessa, in particolare si esaurisce il caso delle coniche affini.

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A Hilbert space operator is called universal (in the sense of Rota) if every operator on the Hilbert space is similar to a multiple of the restriction of the universal operator to one of its invariant subspaces. We exhibit an analytic Toeplitz operator whose adjoint is universal in the sense of Rota and commutes with a quasi-nilpotent injective compact operator with dense range. In articular, this new universal operator invites an approach to the Invariant Subspace Problem that uses properties of operators that commute with the universal operator.

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The central idea of this dissertation is to interpret certain invariants constructed from Laplace spectral data on a compact Riemannian manifold as regularized integrals of closed differential forms on the space of Riemannian metrics, or more generally on a space of metrics on a vector bundle. We apply this idea to both the Ray-Singer analytic torsion

and the eta invariant, explaining their dependence on the metric used to define them with a Stokes' theorem argument. We also introduce analytic multi-torsion, a generalization of analytic torsion, in the context of certain manifolds with local product structure; we prove that it is metric independent in a suitable sense.

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In computer vision, training a model that performs classification effectively is highly dependent on the extracted features, and the number of training instances. Conventionally, feature detection and extraction are performed by a domain-expert who, in many cases, is expensive to employ and hard to find. Therefore, image descriptors have emerged to automate these tasks. However, designing an image descriptor still requires domain-expert intervention. Moreover, the majority of machine learning algorithms require a large number of training examples to perform well. However, labelled data is not always available or easy to acquire, and dealing with a large dataset can dramatically slow down the training process. In this paper, we propose a novel Genetic Programming based method that automatically synthesises a descriptor using only two training instances per class. The proposed method combines arithmetic operators to evolve a model that takes an image and generates a feature vector. The performance of the proposed method is assessed using six datasets for texture classification with different degrees of rotation, and is compared with seven domain-expert designed descriptors. The results show that the proposed method is robust to rotation, and has significantly outperformed, or achieved a comparable performance to, the baseline methods.

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A class of non-stationary exact solutions of two-dimensional nonlinear Navier–Stokes (NS) equations within a thin rotating spherical shell were found as invariant and approximately invariant solutions. The model is used to describe a simple zonally averaged atmospheric circulation caused by the difference in temperature between the equator and the poles. Coriolis effects are generated by pseudoforces, which support the stable west-to-east flows providing the achievable meteorological flows. The model is superimposed by a stationary latitude dependent flow. Under the assumption of no friction, the perturbed model describes zonal west-to-east flows in the upper atmosphere between the Ferrel and Polar cells. In terms of nonlinear modeling for the NS equations, two small parameters are chosen for the viscosity and the rate of the earth’s rotation and exact solutions in terms of elementary functions are found using approximate symmetry analysis. It is shown that approximately invariant solutions are also valid in the absence of the flow perturbation to a zonally averaged mean flow.

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A Hilbert space operator is called universal (in the sense of Rota) if every operator on the Hilbert space is similar to a multiple of the restriction of the universal operator to one of its invariant subspaces. We exhibit an analytic Toeplitz operator whose adjoint is universal in the sense of Rota and commutes with a quasi-nilpotent injective compact operator with dense range. In particular, this new universal operator invites an approach to the Invariant Subspace Problem that uses properties of operators that commute with the universal operator.