IEEE

Effective Input Projection for Updating Dictionary Atoms in Sparse Coding-Based Image Denoising

Abstract: Adaptive dictionary learning algorithms offer enhanced performance through the joint optimization of dictionary atoms and sparse representations. However, this alternating minimization ...
IEEE

Sparse Reconstruction based on K-Sparse Dictionary Learning Method for Bioluminescence Tomography

Abstract: Bioluminescence tomography (BLT) is an important branch of molecular imaging, holds great prospect in biomedical research. However, BLT reconstruction results are often sensitive and ...
Santa Clara University

Liu, Ying

Dr. Ying Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She graduated from the Department of Electrical Engineering, The State ...
Nature

Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding

One of the central problems in neuroscience is the characterization and understanding of the neural code. In 1968 Perkel and Bullock defined four key functions for a candidate neural code: stimulus ...
Frontiers

Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning

The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two ...