Coming off of five years of university playing experience at Mount Royal University in Calgary, Reanna was driven to help players reach their maximum potential as hockey players. Like the rest of the CrossIce team believes, being an excellent skater is a must-have to do so. Reanna worked ...
As the five-time STS test provides a reliable measure for lower body physical function, its connection to the risk of prolonging sitting time becomes interesting. Therefore, this study sought to find predictors associated with STS time in community-dwelling older adults....
Synopsis:Scott decides that instead of writing natural history narratives about animal characters, he will write his own story: of how he went from growing up on a Berkshire farm in the UK, to training as a zoologist, to working as wildlife artist and safari guide in the Maasai Mara Nationa...
In the experiment, we selected training corpus from the DataBaker and Tibetan_Lasa_1. First, two sets of 150 utterances were randomly selected from the DataBaker to serve as the Mandarin test set and Mandarin development set, respectively. Similarly, two sets of 150 utterances were randomly sel...
A residual connection is adopted between the output feature and the input speaker embedding e. The results are then fed into the feed-forward network (FFN). Finally, layer normalization is used to output the feature to the following blocks. In this way, the feature fusion block can ...
After changes in the coaching staff, she rejoined the Italian national team in 1987 and competed at the 1988 Winter Games in Calgary, Alberta, Canada, though she failed to medal. After a disappointing performance at the 1992 Games in Albertville, France, where she could only manage a bronze...
Referring to Figure 1, the 1-D convolutional block in the mask-estimation layer has two output paths: a residual path and a skip-connection path. The residual path acts as the input to the next block, while the skip-connection paths of all convolutional blocks are summed up as the output...
The use of supervision or self-supervision for training the translator would restrict the aural and/or visual representations to pre-defined concepts. Additionally, in these approaches, it is hard to know if the model performed well due to a connection between modalities or if the generated image...
Among them, TSDSL only reduces the feature distribution distance in the global domain emotion space, and ignores the connection between more fine-grained emotion categories, and the model in this chapter uses emotion labels and gender labels to divide the feature space into independent subdomain ...
Additionally, in these approaches, it is hard to know if the model performed well due to a connection between modalities or if the generated image merely fitted the class features. The system we present (Figure 1) constitutes an end-to-end solution obtained after the training of an auto...