This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …

This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as
originated by LE Baum and T. Petrie (1966) and gives practical details on methods of …

We present SoundStream, a novel neural audio codec that can efficiently compress speech,
music and general audio at bitrates normally targeted by speech-tailored codecs …

A good audio codec for live applications such as telecommunication is characterized by
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …

Approximating radiance fields with discretized volumetric grids is one of promising directions
for improving NeRFs, represented by methods like DVGO, Plenoxels and TensoRF, which …

The bandwidth of the communication networks has been increased continuously as results
of technological advances. However, the introduction of new services and the expansion of …

The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to
clustering problems and data exploration in industry, finance, natural sciences, and …

The self-organized map, an architecture suggested for artificial neural networks, is explained
by presenting simulation experiments and practical applications. The self-organizing map …

Artificial neural net models have been studied for many years in the hope of achieving
human-like performance in the fields of speech and image recognition. These models are …

This paper describes a data organization system and genuine content-addressable memory
called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where …