Shuoyang Qiu

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Slow feature analysis (SFA) extracts slowly varying signals from input data and has been used to model complex cells in the primary visual cortex (V1). It transmits information to both ventral and dorsal pathways to process appearance and motion information, respectively. However, SFA only uses slowly varying features for local feature extraction, because(More)
Recognizing complex human actions is very challenging, since training a robust learning model requires a large amount of labeled data, which is difficult to acquire. Considering that each complex action is composed of a sequence of simple actions which can be easily obtained from existing data sets, this paper presents a simple to complex action transfer(More)
Identifying the pre-transition state just before the occurrence of a critical transition during a complex biological process is a challenging task, because the state of the system may show little apparent change or clear phenomenon before this critical transition during the biological processes. By regarding that the pre-transition state is the end or(More)
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