Over the past decade, e-Commerce has rapidly grown enabling customers to purchase products with the click of a button. But to be able to do so, one has to understand the semantics of a user query and identify that in digital lifestyle tv, digital lifestyle is a brand and tv is a product. In this paper, we develop a series of structured prediction algorithms for semantic tagging of shopping quer...

We describe a probabilistic method for identifying characters in TV series or movies. We aim at labeling every character appearance, and not only those where a face can be detected. Consequently, our basic unit of appearance is a person track (as opposed to a face track). We model each TV series episode as a Markov Random Field, integrating face recognition, clothing appearance, speaker recogni...

Tulane virus (TV) is a cultivable calicivirus isolated from rhesus monkeys. In this study, we characterized the substrate specificity of TV protease in trans using recombinant proteases and TV polyprotein fragments containing the predicted proteolytic cleavage sites. Cleavage products have been obtained from 4 of the 5 fragments containing (573)Q-S(574) between the helicase and 3A-like protein,...

BACKGROUND Online broadcasting substantially affects the production, distribution, and profit of TV series. In addition, online word-of-mouth significantly affects the diffusion of TV series. Because on-demand streaming rates are the most important factor that influences the earnings of online video suppliers, streaming statistics and forecasting trends are valuable. In this paper, we investiga...

objectives the aim of this study was to investigate the relation between respiratory muscle strength and the severity of chf, and the influence of respiratory muscle strength on abnormal ventilation during exercise in chf patients. conclusions respiratory muscle strength is related to the severity of chf, and associated with rapid and shallow ventilation or excessive ventilation during exercise...

We study the impact of TV advertising on viewers’ online search behaviors. In particular, we develop methods to estimate how many incremental searches can be causally attributed to TV ad spots, based on Bayesian Structural Time Series (BSTS) models. Simulation studies show that the TV-induced incremental search volumes can be accurately estimated in most cases. Our work provides a way of compar...