Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the...

compression, twin vector quantization is related to vector quantization, but the speed of the quantization is doubled by the secondary vector analyzer. By...

Pyramid vector quantization (PVQ) is a method used in audio and video codecs to quantize and transmit unit vectors, i.e. vectors whose magnitudes are known...

learning vector quantization (LVQ) is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart of vector quantization systems...

referred to as quantization error, noise or distortion. A device or algorithmic function that performs quantization is called a quantizer. An analog-to-digital...

processing) Color quantization Vector quantization Quantization (music) Quantization (physics) Canonical quantization Geometric quantization Discrete spectrum...

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which...

following families of vector quantization methods are supported: Binary Quantization Scalar Quantization (SQ) Product Quantization (PQ), including Polysemous...

properties Vector meson, a meson with total spin 1 and odd parity Vector quantization, a quantization technique used in signal processing Vector soliton...

search. Support of vector quantization for lossy input data compression, including product quantization (PQ) and scalar quantization (SQ), that trades...

A vector database, vector store or vector search engine is a database that uses the vector space model to store vectors (fixed-length lists of numbers)...

classifier Perceptron Support vector machine Unsupervised learning Expectation-maximization algorithm Vector Quantization Generative topographic map Information...

relatively rigorous mathematical approach to quantizing a field theory with a gauge symmetry. Quantization rules in earlier quantum field theory (QFT)...

Interspeech. pp. 4860–4864. arXiv:2207.04356. Wang, Zili (2021). VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Disentangled Representation...

spectral envelope is then coded using variable-dimension weighted vector quantization. This process is also referred to as Harmonic VQ. To make a speech...

from the output space, and SOM attempts to preserve these. Learning vector quantization (LVQ) can be interpreted as a neural network architecture. Prototypical...

TwinVQ (transform-domain weighted interleave vector quantization) is an audio compression technique developed by Nippon Telegraph and Telephone Corporation...

average of word vectors, known as continuous bag-of-words (CBOW). However, more elaborate solutions based on word vector quantization have also been proposed...

decoding, allowing playback of DVDs and game FMV. It also allowed vector quantization for 2D graphics data. The memory management unit, RDRAM controller...

1980) is an iterative vector quantization algorithm to improve a small set of vectors (codebook) to represent a larger set of vectors (training set), such...

gas within the data space. It is applied where data compression or vector quantization is an issue, for example speech recognition, image processing or...

following. K-means clustering is an approach for vector quantization. In particular, given a set of n vectors, k-means clustering groups them into k clusters...

of vectors, one for each patch. The vectors can only come from a discrete set of "codebook", as in vector quantization. Another encodes the quantized vectors...

Efficient Finetuning of Quantized LLMs". arXiv:2305.14314 [cs.LG]. "Learned Quantization in ml-explore mlx-lm". GitHub. "What is quantization aware training?"...

an automobile engine Holden VQ Statesman/Caprice, an automobile Vector quantization, in signal processing Ventilation Quotient or Ventilation/perfusion...

search in closed-loop in a "perceptually weighted domain". Applying vector quantization (VQ) The original algorithm as simulated in 1983 by Schroeder and...

charge quantization has appeared. (The concept of local gauge invariance—see Gauge theory—provides a natural explanation of charge quantization, without...

in static and mobile environments. Linde–Buzo–Gray algorithm: a vector quantization algorithm to derive a good codebook Lloyd's algorithm (Voronoi iteration...

latency. The encoder calculates a log mel spectrogram and performs vector quantization to store the spectrogram in a data stream. The decoder is a WaveNet...

algorithms based on the principle of competitive learning include vector quantization and self-organizing maps (Kohonen maps). There are three basic elements...