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Survey on exact knn queries over high-dimensional data space
k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
Image coding using vector quantization: A review
A review of vector quantization techniques used for encoding digital images is presented.
First, the concept of vector quantization is introduced, then its application to digital images is …
First, the concept of vector quantization is introduced, then its application to digital images is …
[كتاب][B] Pattern recognition
S Theodoridis, K Koutroumbas - 2006 - books.google.com
Pattern recognition is a fast growing area with applications in a widely diverse number of
fields such as communications engineering, bioinformatics, data mining, content-based …
fields such as communications engineering, bioinformatics, data mining, content-based …
Spectrum estimation and harmonic analysis
In the choice of an estimator for the spectrum of a stationary time series from a finite sample
of the process, the problems of bias control and consistency, or" smoothing," are dominant …
of the process, the problems of bias control and consistency, or" smoothing," are dominant …
[كتاب][B] Speech enhancement: theory and practice
PC Loizou - 2007 - taylorfrancis.com
The first book to provide comprehensive and up-to-date coverage of all major speech
enhancement algorithms proposed in the last two decades, Speech Enhancement: Theory …
enhancement algorithms proposed in the last two decades, Speech Enhancement: Theory …
Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
In this correspondence we derive a short-time spectral amplitude (STSA) estimator for
speech signals which minimizes the mean-square error of the log-spectra (ie, the original …
speech signals which minimizes the mean-square error of the log-spectra (ie, the original …
Vector quantization
A vector quantizer is a system for map** a sequence of continuous or discrete vectors into
a digital sequence suitable for communication over or storage in a digital channel. The goal …
a digital sequence suitable for communication over or storage in a digital channel. The goal …
Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis
This letter presents theoretical, algorithmic, and experimental results about nonnegative
matrix factorization (NMF) with the Itakura-Saito (IS) divergence. We describe how IS-NMF is …
matrix factorization (NMF) with the Itakura-Saito (IS) divergence. We describe how IS-NMF is …
Distance measures for signal processing and pattern recognition
Some general tools for measuring distances either between two statistical models or
between a parametric model (or signature) and a signal are presented. These tools are …
between a parametric model (or signature) and a signal are presented. These tools are …
[كتاب][B] Principles of signal detection and parameter estimation
BC Levy - 2008 - books.google.com
Asadiscipline, signaldetectionhasevolvedsigni? cantlyoverthelast40years. Some changes
have been caused by technical advances, like the development of robust detection methods …
have been caused by technical advances, like the development of robust detection methods …