Landmark Alternating Diffusion: A Computationally Efficient Approach to Sensor Fusion

Landmark Alternating Diffusion (LAD) is a computationally efficient variation of the Alternating Diffusion (AD) algorithm that captures the essence of AD while offering superior computational efficiency.