Beauty and the Bulls: The Investment Characteristics of Paintings . . . . . . . . . . 2 T h e rate of increase in fine paintings prices was large when compared with many other investments during the 1970s and was extraordinarily large from 1977 to 1980. One prominent explanation for the behavior of fine painting prices over this period is the ability of this asset to hedge against uncertain inf...

Participants discussed paintings they liked and disliked with artists who were or were not personally invested in them. Participants were urged to be honest or polite or were given no special instructions. There were no conditions under which the artists received totally honest feedback about the paintings they cared about. As predicted by the defensibility postulate, participants stonewalled, ...

We show that some impassioned van Gogh paintings display scaling properties similar to the observed in turbulent fluids, suggesting that these paintings reflect the fingerprint of turbulence with such a realism that is even consistent with the way that a mathematical model characterizes this phenomenon. Specifically, we show that the probability distribution function (PDF) of luminance fluctuat...

This paper addresses the problem of semantic analysis of paintings by automatic detection of the represented scene type. The solution comes as an incipient effort to fill the gap already stated in the literature between the low level computational analysis and the high level semantic dependent human analysis of paintings. Inspired by the way humans perceive art, we first decompose the image in ...

the aim of this study is investigation on effect of stem end splitting and geranium essential oil on vase life on quality of cut chrysanthemum (dendranthema grandiflorum l.). this experiment arranged as factorial based on rcd with 2 factors of stem end splitting at 2 levels (with splitting and without splitting) and geranium essential oil at 6 levels (0, 1, 2, 4, 8 and 10 %), with 12 treatments...

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair. We build upon recent work leveraging conditional instance normalization for multi-style transfer networks by learning to predict the conditional instance normalization paramet...