The typical attention mechanism reviews the information at each previous time step and selects relevant information to help generate the outputs; however, it fails to capture temporal patterns across multiple time steps. In this paper, we propose using a set of filters to extract time-invariant ...
Typical attention mechanism reviews the information at each previous time step and selects the relevant information to help generate the outputs, but it fails to capture the temporal patterns across multiple time steps. In this paper, we propose to use a set of filters to extract time-invariant...
Original Implementation of ''Temporal Pattern Attention for Multivariate Time Series Forecasting''. Dependencies python3.6.6 You can check and install other dependencies in requirements.txt. $ pip install -r requirements.txt # to install TensorFlow, you can refer to https://www.tensorflow.org/inst...
Inhibition of return (IOR), an inhibitory component of spatial attention that is thought to bias visual search toward novel locations, is considered relatively well preserved with normal aging. We conducted two experiments to assess age-related changes in the temporal pattern of IOR. Inhibitory effec...
That attention is a fundamentally rhythmic process has recently received abundant empirical evidence. The essence of temporal attention, however, is to flexibly focus in time. Whether this function is constrained by an underlying rhythmic neural mechanis
Effects of auditory pattern structure on anticipatory and reactive attending. Cogn. Psychol. 53, 59–96 (2006). PubMed Google Scholar Jones, M. R. Time, our lost dimension: toward a new theory of perception, attention, and memory. Psychol. Rev. 83, 323–355 (1976). This is an early...
Interactions of Attention, Stimulus Conflict, and Multisensory Processing in a pattern that closely follows the temporal linking of multisensory stimuli, while also engendering the spatial linking of such multisensory stimuli. Whe... SE Donohue - Dissertations & Theses - Gradworks 被引量: 3发表: ...
In this work, we propose an end-to-end spatial and temporal attention model for human action recognition from skeleton data. We build our model on top of the Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM), which learns to selectively focus on discriminative joints of ...
where the HC in the equatorial region and SST in the North Pacific are known as the Pacific Meridional Mode pattern. As a representative of the Central Pacific El Niño event in 2009, the attention map captures the precursor, North tropical Atlantic (NTA) SST signal. In general, La Niña...
Relatively little attention has been paid to examining the spatial expansion features of cities at various tiers at the regional level in China, especially... S Lu,X Guan,C He,... - 《Sustainability》 被引量: 48发表: 2014年 The patterns and driving forces of urban sprawl in China Along ...