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The CNN-encoding of features from entire videos for the representation of human actions has rarely been addressed. Instead, CNN work has focused on approaches to fuse spatial and temporal networks, but these were typically limited to processing shorter sequences. We present a new video representation, called temporal linear encoding (TLE) and embedded inside of CNNs as a new layer, which captures...
Today, in the real world the forecasting of stock price time series is very important and challenging task. In recent years many fuzzy time series forecasting method have been proposed. In previous studies the fuzzy relationships were assigned with equal weights. As the fuzzy relationship were treated as equally important, therefore in forecasting each individual relationship were not reflected correctly...
Dynamic optimal linearization determines a linear model that best approximates the response of a given nonlinear-system for specified inputs. Conventionally, a nonlinear system is linearized about an equilibrium point by the linear term in a Taylor series expansion of the nonlinear system. Unlike the conventional method, dynamic optimal linearization does not require the nonlinear function to be continuously...
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