Neural Processing Letters

Face recognition is still a challenging issue due to the presence of intrinsic complexity, external variations and number limitation of training samples. In this paper, a novel face recognition method based on probabilistic latent semantic …

For long-term online prediction of nonlinear time series, how to determine a feasible network architecture that conforms to the time-varying data stream is recognized to be a challenging problem. To deal with the issue, a dynamic ELM with balanced …

Bird detection in LR images is essential for the applications of unmanned aerial vehicles. It is still a challenging task because traditional discriminative features in high-resolution (HR) usually disappear in low-resolution (LR) images. Although …

Recognizing standard medical concepts in the colloquial text is significant for kinds of applications such as the medical question answering system. Recently, word-level neural network methods, which can learn complex informal expression features …

Obstacle detection is a significant and fundamental issue in autonomous driving and robotics. This paper proposes a novel method to locate obstacles in the scene by comprehensively utilizing the sparse point clouds captured by a Lidar and the …