Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...

This is a preview. Log in through your library . Abstract Recent results in quantization theory show that the mean-squared expected distortion can reach a rate of convergence of O(1/n), where n is the ...

Now-a-days, data on the web is increasing like water in the ocean. Big data is one of the emerging areas that deal with large velocity of data. “Big data is not defined in single world data sets that ...

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications SAN FRANCISCO, July 30, ...

Recursive marginal quantization (RMQ) allows the construction of optimal discrete grids for approximating solutions to stochastic differential equations in d dimensions. Product Markovian quantization ...