3 accepted papers
Timely understanding of a patient’s clinical course is crucial for effective treatment. Extracting course-related information, such as temporal and medical events, from unstructured medical records is both challenging and time-consuming, especially when relying on manual identification by physicians
Continual lifelong learning is essential to many applications. In this paper, we propose a simple but effective approach to continual deep learning. Our approach leverages the principles of deep model compression, critical weights selection, and progressive networks expansion. By enforcing their int…
In the previous work [2], we proposed an error diffused intra prediction for HEVC to improve its coding performance. The proposed algorithm can achieve average 0.5% BDBR reduction with 21% increase of encoding time, compared to the HEVC intra prediction. To further improve the computation efficiency…