For the Fr'{e}chet algebras $(A, (p_k))$ and $(B, (q_k))$ and $n in mathbb{N}$, $ngeq 2$, a linear map $T:A rightarrow B$ is called textit{almost $n$-multiplicative}, with respect to $(p_k)$ and $(q_k)$, if there exists $varepsilongeq 0$ such that$$q_k(Ta_1a_2cdots a_n-Ta_1Ta_2cdots Ta_n)leq varepsilon p_k(a_1) p_k(a_2)cdots p_k(a_n),$$for each $kin mathbb{N}$ and $a_1, a_2, ldots, a_nin A$. Th...

These kernels combine the benefits of two other important classes of kernels: the homogeneous additive kernels (e.g. the χ2 kernel) and the RBF kernels (e.g. the exponential kernel). However, large scale problems require machine learning techniques of at most linear complexity and these are usually limited to linear kernels. Recently, Maji and Berg [2] and Vedaldi and Zisserman [4] proposed exp...

We discuss the proof of a version of the maximum principle with state space constraints for data with very weak regularity properties, using the classical method of packets of needle variations (PNVs), as in Pontryagin’s book, but coupling it with a nonclassical theory of multivalued differentials, the so-called “generalized differential quotients” (GDQs). The key technical point of our argumen...

This paper is concerned with the computational implementation of the robust RA estimates for spatial autoregressive (AR-2D) models with three parameters. The computational behavior of the RA estimators for AR-2D models which depends on the number of parameters in the model, has been studied for those models containing at most two parameters. A simulation study is carried out to compare the rela...

self-affine maps were successfully used for edge detection, image segmentation, and contour extraction. they belong to the general category of patch-based methods. particularly, each self-affine map is defined by one pair of patches in the image domain. by minimizing the difference between these patches, the optimal translation vector of the self-affine map is obtained. almost all image process...