Evaluation of free libraries for visual recognition of art imagery on mobile devices

This paper describes a systematic research about free software solutions and techniques for art imagery computer recognition problem.

Entrepreneur's Overconfidence, Private Benefits and the Market Performance of the Firm

Many firms around the world are managed and partially owned by entrepreneurs. These entrepreneurs hold under diversified portfolios and, therefore, bear idiosyncratic risk in addition to systematic risk. To compensate the additional risk borne, they extract private benefits. In this paper, we analyse how an entrepreneur's overconfidence affects the market performance of the firm, through the channel of private benefits. We show that two dimensions of overconfidence, namely overestimation of future cash-flows and underestimation of idiosyncratic risk (called miscalibration), have opposite effects on the private benefits extracted by the entrepreneur. As a consequence, firms managed and partially owned by overconfident entrepreneurs can deliver overperformance or underperformance, depending on the prevalence of overestimation or miscalibration of the beliefs of the entrepreneur.

Greenberg i Danto : De l'últim gran relat a la fi de l'art

A partir de l'anàlisi comparatiu de l'obra de dos grans teòrics de la modernitat i la postmodernitat com són Clement Greenberg i Arthur C. Danto es fa un estudi de com aquests dos autors han arribat a construir els seus discursos i, en relació a això, com ha anat evolucionant el concepte d'art de la modernitat a la postmodernitat. La qüestió central que se'ns planteja és: què ha canviat en la idea d'art de la postmodernitat respecte a la idea o a la concepció d'art anterior, per arribar-nos a qüestionar si realment hi ha art i, si n'hi ha, què és art i que no ho és? Existeix una idea universal de què ha de ser art? O aquesta és una qüestió intrínsicament relacionada amb la societat en què es produeix; en aquest cas, la societat occidental?

Art painting Data Collection

The classification of Art painting images is a computer vision applications that isgrowing considerably. The goal of this technology, is to classify an art paintingimage automatically, in terms of artistic style, technique used, or its author. For thispurpose, the image is analyzed extracting some visual features. Many articlesrelated with these problems have been issued, but in general the proposed solutionsare focused in a very specific field. In particular, algorithms are tested using imagesat different resolutions, acquired under different illumination conditions. Thatmakes complicate the performance comparison of the different methods. In thiscontext, it will be very interesting to construct a public art image database, in orderto compare all the existing algorithms under the same conditions. This paperpresents a large art image database, with their corresponding labels according to thefollowing characteristics: title, author, style and technique. Furthermore, a tool thatmanages this database have been developed, and it can be used to extract differentvisual features for any selected image. This data can be exported to a file in CSVformat, allowing researchers to analyze the data with other tools. During the datacollection, the tool stores the elapsed time in the calculation. Thus, this tool alsoallows to compare the efficiency, in computation time, of different mathematicalprocedures for extracting image data.

Fresh News; The Farmers' Market Newsletter, Summer 2003

Newsletter produced by Iowa Department of Agriculture and Land Stewardship

Fresh News; The Farmers' Market Newsletter, Fall 2001

Newsletter produced by Iowa Department of Agriculture and Land Stewardship

Fresh News; The Farmers' Market Newsletter, Winter-Spring 2002

Newsletter produced by Iowa Department of Agriculture and Land Stewardship

Fresh News; The Farmers' Market Newsletter, Fall-Winter 2003

Newsletter produced by Iowa Department of Agriculture and Land Stewardship

Fresh News; The Farmers' Market Newsletter, Fall 2002

Newsletter produced by Iowa Department of Agriculture and Land Stewardship

Iowa Farmers' Market Development Manual, 2003

Farmers Market Manual produced by Iowa Departmment of Agriculture and Land Stewardship

Market Transparency, Market Quality and Sunshine Trading

This paper analyzes the implications of pre-trade transpareny on market performance. We find that transparency increases the precision held by agents, however we show that this increase in precision may not be due to prices themselves. In competitive markets, transparency increases market liquidity and reduces price volatility, whereas these results may not hold under imperfect competition. More importantly, market depth and volatility might be positively related with proper priors. Moreover, we study the incentives for liquidity traders to engage in sunshine trading. We obtain that the choice of sunshine/dark trading for a noise trader is independent of his order size, being the traders with higher liquidity needs more interested in sunshine trading, as long as this practice is desirable. Key words: Market Microstructure, Transparency, Prior Information, Market Quality, Sunshine Trading