“The arts matter because art is meant to move people either on an intellectual or emotional level. It can turn strangers into old friends with lots in common.” – Maryrose Flanigan “The arts matter because they give us a mutual space where we can talk to one another about the most important things to us. We would not be connected so deeply without the existence of art.” – Kathleen Dinsmore “Art matters because it illustrates the human experience-the wonder of it, the bewilderment of it, the whimsy of it, and so much more. And that’s a fine thing.” – Victoria Hutter Sometimes, parts of me are displaced and replaced by wiser stuff. The arts make my brain and my heart stretch to make room for newness. “The arts matter because I learn something about people and places I would have never known otherwise. To paraphrase what more than one staffer said when we asked them to explain why they value the arts so highly, the arts matter because they help us to understand how we matter. Ever wonder what National Endowment for the Arts staff actually think about the arts? While not everyone at the agency is an artist (though we do boast quite a few!), one thing's for sure-we all share a deep and abiding appreciation and understanding of how vitally important the arts are to the diverse people and communities that call the U.S.
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Please consider splitting content into sub-articles, condensing it, or adding subheadings. This article may be too long to read and navigate comfortably. In constructing a time histogram of the event sequences derived from a nonstationary point process, we wish to determine the bin width such that the mean squared error of the histogram from the underlying rate of occurrence is minimized. International Nuclear Information System (INIS) Histogram bin width selection for time-dependent Poisson processes The experimental results on synthetic data sets show the robustness of the BRDs to partial matching, and the experiments on seven benchmark data sets demonstrate promising results of the BRDs for image classification. The BRDs and logistic regression-based histogram fusion are applied to image classification. We propose a method for assessing the robustness of histogram distances to partial matching. These combinations exploit and benefit from the robustness of the BRD under partial matching and the robustness of the â„“1 and χ(2) distances to small noise. We combine the BRD with the â„“1 histogram distance and the χ(2) histogram distance to generate the â„“1 BRD and the χ(2) BRD, respectively. The BRD is robust to partial matching and histogram normalization, and captures correlations between bins with only a linear computational complexity. We propose a bin ratio-based histogram distance (BRD), which is an intra-cross- bin distance, in contrast with previous bin-to-bin distances and cross- bin distances. In this paper, we deal with this problem by using the ratios between bin values of histograms, rather than bin values' differences which are used in the traditional histogram distances. Large variations in image background may cause partial matching and normalization problems for histogram-based representations, i.e., the histograms of the same category may have bins which are significantly different, and normalization may produce large changes in the differences between corresponding bins. Hu, Weiming Xie, Nianhua Hu, Ruiguang Ling, Haibin Chen, Qiang Yan, Shuicheng Maybank, Stephen The interplay between these opposing factors effectively implements Occam's razor by selecting the most simple model that best describes the data.īin Ratio-Based Histogram Distances and Their Application to Image Classification. The maximum of the posterior probability occurs at a point where the prior probability and the the joint likelihood are balanced. Opt BINS (optimal binning) determines the optimal number of bins in a uniform bin-width histogram by deriving the posterior probability for the number of bins in a piecewise-constant density model after assigning a multinomial likelihood and a non-informative prior. The VW T4 is now at the turning point where good example are appreciating in value so if you pick the right one you can justify it as an investment for the future!Īs a good rule of thumb, and from experience of owning three T4’s over the last decade (a mix of 1.9 and 2.5TDI models) if you budgeted £1000 per annum for service/repair of your VW T4 you wouldn’t be too far off the mark for relatively low mile use (less than 10k miles).Ī budget of £1000 allows for around £300 per year for your standard service and around £700 buffer for extra work that may be flagged up at MOT or problems that develop along the way. The offset to this higher cost however is that you don’t have to suffer the heavier depreciation that you would get on the newer models of T5 and T6. Running any vehicle that is 20 to 30 years old is going to come with a higher maintenance bills than a new vehicle. |
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