Results (2)
Search Parameters:
Keyword: Attention Mechanism
A Unified Visual Saliency Model for Automatic Image Description Generation for General and Medical Images
An enduring vision of Artificial Intelligence is to build robots that can recognize and learn the visual world and who can speak about it in natural language. Automatic image description generation is a demanding problem in Computer Vision and Natural Language Processing. The applications of image description generation systems are in biomedicine, military, commerce, digital…
Read More A Hybrid NMF-AttLSTM Method for Short-term Traffic Flow Prediction
In view of the current short-term traffic flow prediction methods that fail to fully consider the spatial correlation of traffic flow, and fail to make full use of historical data features, resulting in low prediction accuracy and poor robustness. Therefore, in paper, combining Non-negative Matrix Factorization (NMF) and LSTM model Based on Attention Mechanism (AttLSTM),…
Read More