… the early years and deep features in the deeplearning era. … influential methods on multiple datasets and give some detailed … deep networks for facial expression recognition with crowd-…
… we use three different deepneuralnetworks to extract feature … datasets from different sources, we propose a multi-task learn… Audio-visual event localiza⁃ tion in unconstrained videos[C]/…
… to improve the positioning accuracy and robustness; the machinelearning algorithm recognizes the sound from a specific scene, environment or human body. The technical solution …
… This paper systematically proposed a framework of semantic … The learning algorithms in semantic analysis for autonomous … model, deepneuralnetwork, and reinforcement learning. …