Nature

Vector Quantization and Learning Algorithms

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

Training a learning vector quantization network for biomedical classification

Abstract: A competitive learning vector quantization (LVQ) neural net (ANN) was trained to identify third stage parasitic strongyle larvae from domestic animals on the basis of quantitative data ...
IEEE

Stochastic approximation for learning rate optimization for generalized relevance learning vector quantization

Abstract: Herein the authors apply the stochastic approximation method of Kiefer and Wolfowitz to optimize learning rate selection for Generalized Relevance Learning Vector Quantization - Improved ...
Design-Reuse

Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference

This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
Morningstar

Elastic Announces Faster Filtered Vector Search with ACORN-1 and Default Better Binary Quantization Compression

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications Elastic (NYSE: ESTC), the ...