Algunas resoluciones y decisiones recientes emanadas de órganos de las Naciones Unidas, que se ponen en conocimiento de la Comisión = Some recent resolutions and decisions adopted by United Nations organs which should be brought to the attention of the Commission = Résolutions et décisions récemment émanées d'organismes des Nations Unies et portées à la connaissance de la Commission

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Algunas resoluciones y decisiones recientes emanadas de órganos de las Naciones Unidas, que se ponen en conocimiento de la Comisión = Some recent resolutions and decisions adopted by United Nations organs which should be brought to the attention of the Commission = Résolutions et decisions récemment emanées d'organismes des Nations Unies et portées a la connaissance de la Commission

Incluye Bibliografía

Some recent resolutions and decisions adopted by United Nations organs which should be brought to the attention of the Commission

Twenty-seventh session. Oranjestad, Aruba, 11-16 May 1998

Classification of masses in mammographic image using wavelet domain features and polynomial classifier

Breast cancer is the most common cancer among women. In CAD systems, several studies have investigated the use of wavelet transform as a multiresolution analysis tool for texture analysis and could be interpreted as inputs to a classifier. In classification, polynomial classifier has been used due to the advantages of providing only one model for optimal separation of classes and to consider this as the solution of the problem. In this paper, a system is proposed for texture analysis and classification of lesions in mammographic images. Multiresolution analysis features were extracted from the region of interest of a given image. These features were computed based on three different wavelet functions, Daubechies 8, Symlet 8 and bi-orthogonal 3.7. For classification, we used the polynomial classification algorithm to define the mammogram images as normal or abnormal. We also made a comparison with other artificial intelligence algorithms (Decision Tree, SVM, K-NN). A Receiver Operating Characteristics (ROC) curve is used to evaluate the performance of the proposed system. Our system is evaluated using 360 digitized mammograms from DDSM database and the result shows that the algorithm has an area under the ROC curve Az of 0.98 ± 0.03. The performance of the polynomial classifier has proved to be better in comparison to other classification algorithms. © 2013 Elsevier Ltd. All rights reserved.

Action taken on CDCC resolutions and resolutions of ECLAC and other United Nations bodies with implications for CDCC: resolutions and decisions of ECLAC, ECOSOC and the UN General Assembly with implications for CDCC

Revisa las acciones tomadas en relacion con las resoluciones del CDCC y aquellas de la CEPAL, ECOSOC y Asamblea General, con implicancias para el CDCC.

Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier

In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of big data classification problems. The research on this area ranges from Graphics Processing Units-based implementations to mathematical optimizations, being the main drawback of the former approaches to be dependent on the graphic video card. Here, we propose an architecture-independent optimization approach for the optimum-path forest (OPF) classifier, that is designed using a theoretical formulation that relates the minimum spanning tree with the minimum spanning forest generated by the OPF over the training dataset. The experiments have shown that the approach proposed can be faster than the traditional one in five public datasets, being also as accurate as the original OPF. (C) 2014 Elsevier B. V. All rights reserved.

A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition

In this letter, a speech recognition algorithm based on the least-squares method is presented. Particularly, the intention is to exemplify how such a traditional numerical technique can be applied to solve a signal processing problem that is usually treated by using more elaborated formulations.

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.

Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Two and a Half Cheers for the Midwestern Bourgeoisie: Role of the Virtues in Tempering Business Decisions

A recent book (The Bourgeois Virtues: Ethics for an Age of Commerce, D. N. McCloskey), raises the matter of the role of the virtues in business and economic choice, arguing that capitalism can indeed, be virtuous or at least better than the alternative(s). This argument is especially timely in light of the apparent excesses on Wall Street and in some banking/financial institutions. Excessive greed and often the lack of business ethics contributed in substantive ways to the financial crisis and near economic meltdown we have been experiencing. As McCloskey, (2006, pp. 1-2) argues (in setting the stage for the complex argument made in this 616-page book!): “The book … is directed toward you who are suspicious of the phrase ‘bourgeois virtues,’ pretty sure that it is a contradiction in terms. And the book is directed, with less optimism about changing their minds, toward you who think the phrase is worse: a lie. ‘Bourgeois virtues’ is neither. The claim here is that modern capitalism does not need to be offset to be good. Capitalism can on the contrary be virtuous. In a fallen world bourgeois life is not perfect. But it’s better than any available alternative. American capitalism needs to be inspirited, moralized, completed. Two and a half cheers for the Midwestern bourgeoisie (middle-class, small business owners…. yet)… Many a businessman is an ethical shell or worse. Even the virtues of the bourgeoisie, … do not lead straight to heaven.”

Analyzing ACRE: Results for 2009 and Decisions for 2010

In 2009, agricultural producers participating in federal farm programs had to decide between staying in the existing Direct and Counter-Cyclical Program (DCP), and the new Average Crop Revenue Election Program (ACRE). If producers chose to keep the DCP, their farm income safety net is strictly tied to crop prices, with a combination of marketing loans, counter-cyclical payments and direct payments. If producers chose the new ACRE program, they changed their farm income safety net to a combination of price and revenue. The new ACRE component is based on revenue and replaces the counter-cyclical payment. The other parts of the safety net for ACRE participants remain tied to price, albeit at lower levels (direct payments reduced 20 percent, marketing loan rates reduced 30 percent).