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Materias / palabras clave: Comunicación visual; Visual communication; Knowledge representation (Information theory); Representación del conocimiento (Teoría de la información)

En aras de utilizar ventajosamente el conocimiento, los esquemas para su tratamiento y comunicación han experimentado progresos, los cuales facilitan tales labores, y a la vez, hacen frente a su crecimiento paulatino y ...

Materias / palabras clave: Representation (Philosophy); Representación (Filosofía); Meaning (Philosophy); Significado (Filosofía); Knowledge, Theory of; Teoría del conocimiento

Materias / palabras clave: algebra, module, representation, homology, lie algebra, group; Science: Mathematics

Multiresolution representations are effective for analyzing the information content of images. The properties of the operator which approximates a signal at a given resolution were studied. It is shown that the differenc...

Materias / palabras clave: Prospect theory; Cumulative prospect theory; Expected utility hypothesis; Risk aversion (psychology); Mathematical economics; Foundation (evidence); Weighting; Economics; Loss aversion; Ambiguity aversion; Axiom; Decisio...

Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and syntactic regularities using vector arith-metic, but the origin of these regularities has remained o...

One of the problems which has plagued those attempting to predict the behavior of capital markets is the absence of a body of positive microeconomic theory dealing with conditions of risk. Although many useful insights c...

We consider the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise. We cast the recognition problem as one of classifying among...

1. Bessel functions before 1826 2. The Bessel coefficients 3. Bessel functions 4. Differential equations 5. Miscellaneous properties of Bessel functions 6. Integral representations of Bessel functions 7. Asymptotic expan...

As firms move toward a more disciplined approach to e-business strategic planning, managers are seeking metrics that will help them analyze the success of their e-business investments. Likewise, researchers require metri...

Conventional approaches to sampling signals or images follow Shannon's theorem: the sampling rate must be at least twice the maximum frequency present in the signal (Nyquist rate). In the field of data conversion, standa...

The usage and control of recent modifications of the program package XDS for the processing of rotation images are described in the context of previous versions. New features include automatic determination of spot size ...

Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore the morphology of words, by assigning a dis...

Abstract In the early 1980s, a strategy for graphical representation of multivariate (multi‐species) abundance data was introduced into marine ecology by, among others, Field, et al. (1982). A decade on, it is instruct...

The classical filtering and prediction problem is re-examined using the Bode-Shannon representation of random processes and the “state-transition” method of analysis of dynamic systems. New results are: (1) The formu...

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the aut...

Phylogenies are extremely useful tools, not only for establishing genealogical relationships among a group of organisms or their parts (e.g. genes), but also for a variety of research once the phylogenies are estimated. ...

Given a combinatorial optimisation problem, there are typically multiple ways of modelling it for presentation to an automated solver. Choosing the right combination of model and target solver can have a significant impa...

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data...

Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local receptive fields. In order to boost the rep...

1. Introduction and Doctrinal Background Enter and Latitude for deterioration, and slack in economic thought Exit and voice as impersonations of economics and politics 2. Exit How the exit option works Competition as col...

Introduction - Norman K Denzin and Yvonna S Lincoln The Discipline and Practice of Qualitative Research PART ONE: LOCATING THE FIELD Qualitative Methods - Arthur J Vidich and Stanford M Lyman Their History in Sociology a...

Preface Editor's Introduction General Introduction Part I The Economy of Linguistic Exchanges Introduction 1. The Production and Reproduction of Legitimate Language 2. Price Formation and the Anticipation of Profits Appe...