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Text-to-Image generation in the general domain has long been an open problem, which requires both generative model and cross-modal understanding. Super-Resolution Text-to-Image Generation. In this paper, we focus on improving online multi-object tracking MOT. Quantized recurrent neural networks were tested over the Penn Treebank dataset, and achieved comparable accuracy as their bit counterparts using only 4-bits.
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White Paper Series - University of Houston

Read the report: Uncovering price gaps: UK champagne. As companies and retailers compete in an increasingly dynamic e-commerce market, the need to understand price, attribute and assortment trends has never been higher. By exploring the UK alcoholic drinks market as an example, this report focuses on uncovering price gaps within a category, in this case champagne products retailed online. However, the same analysis can be applied to any price tier or any given category. The report illustrates how large volumes of well organised and structured web extracted SKU data can be used to identify price gaps that can potentially capture greater sales, category share, margin and maximise profitability. This report examines the full price distribution of available champagne SKUs ml bottles , the price tiers that exist within the category and a straightforward manner through which it is possible to identify price gaps among a large number of SKUs. Over champagne SKUs and the brands of 51 suppliers, available through online retailers in the UK, were evaluated to pinpoint significant price gaps.
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Copy the HTML code below to embed this book in your own blog, website, or application. An uncorrected copy, or prepublication, is an uncorrected proof of the book. We publish prepublications to facilitate timely access to the committee's findings. The final version of this book has not been published yet. You can pre-order a copy of the book and we will send it to you when it becomes available.
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The papers presented here to facilitate access to the views of the 5G-PPP community and to allow informed discussion of the 5G challenges as perceived by the members of the community. Please note the opinions in these documents are the amalgamated opinions views of the contributors and may not be considered as representing the views of any individual organisation. In accordance with EU data protection laws, your e-mail address will only be used for the purpose of the project and will not be forwarded to third parties.
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