A sampling-based approach for efficient clustering in large datasets
We propose a simple and efficient clustering method for high-dimensional data with a large
number of clusters. Our algorithm achieves high-performance by evaluating distances of …
number of clusters. Our algorithm achieves high-performance by evaluating distances of …
Precise timing and computationally efficient learning in neuromorphic systems
O Oubari - 2020 - theses.hal.science
From image recognition to automated driving, machine learning nowadays is all around us
and impacts various aspects of our daily lives. This disruptive technology is rapidly evolving …
and impacts various aspects of our daily lives. This disruptive technology is rapidly evolving …