Multidimensional Synchronous Dataflow (MDSDF) [5][2] is a model of computation that has been proposed and implemented for specifying multidimensional multirate signal processing systems such as image and video processing algorithms. The model is an extension of synchronous dataflow (SDF) [4] and has all of the desirable properties of the SDF model such as static schedulability, exposure of data...

Sequential pattern mining has been broadly studied and many algorithms have been proposed. The first part of this chapter proposes a new algorithm for mining frequent sequences. This algorithm processes only one scan of the database thanks to an indexed structure associated to a bit map representation. Thus, it allows a fast data access and a compact storage in main memory. Experiments have bee...

MUNISHI, P. K. T., SHEAR, T. H., WENTWORTH, T. & TEMU, R. A. P. C. 2007. Compositional gradients of plant communities in submontane rainforests of eastern Tanzania. This study classified plant communities and examined the environmental correlates of community compositions in two submontane rainforests on the ranges of Eastern Arc Mountains, Tanzania. Using agglomerative cluster analysis, indica...

Differential properties of symbols of multidimensional singular integrals in the weighted space of Bessel potentials on the sphere with the weighted functions, having singularities on a sphere are studied. The main results are applied to obtaining theorems on Fourier multipliers of spherical harmonic expansions.

Fractal image compression entails a computationally costly search for matching image blocks. It is proposed that a block be represented by its DCT coefficients, which may be made invariant to many of the usual block transforms. Due to the energy packing properties of the DCT, the efficiency of an existing multidimensional nearest neighbour search is improved.

After it has been successfully done in probability and possibility theories, the paper is the first attempt to introduce the operator of composition also for belief functions. We prove that the proposed definition preserves all the necessary properties of the operator enabling us to define compositional models as an efficient tool for multidimensional models representation.

We study a class of strongly irreducible, multidimensional, topological Markov shifts, comparing two notions of “symmetric measure”: exchangeability and the Gibbs (or conformal) property. We show that equilibrium measures for such shifts (unique and weak Bernoulli in the one dimensional case) exhibit a variety of spectral properties.

Design methods for paraunitary matrices from complete orthogonal sets of idempotents and related matrix structures are presented. These include techniques for designing non-separable multidimensional paraunitary matrices. Properties of the structures are obtained and proofs given. Paraunitary matrices play a central role in signal processing, in particular in the areas of filterbanks and wavelets.

Inter-business collaborative contexts prefigure a distributed scenario where companies organize and coordinate themselves to develop common and shared opportunities, but traditional business intelligence systems do not provide support to this end. To fill this gap, in this paper we envision a peer-to-peer data warehousing architecture based on a network of heterogeneous peers, each exposing que...

Urban systems have many heterogeneous sets and many heterogeneous relations between them. Network theory has been very successful in analysing binary relations and related dynamics and flows. Urban systems are also characterised by higher level relations between many elements, leading to a multidimensional generalisation of network theory. Many dynamic system properties are dependent on the und...