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Dimensionality reduction for visualization of normal and pathological speech data
(Elsevier, 2009-07)
For an adequate analysis of pathological speech signals, a sizeable number of parameters is required, such as those related to jitter, shimmer and noise content. Often this kind of high-dimensional signal representation ...
Two-dimensional extensions of semi-supervised dimensionality reduction methods
(Universidade Federal de Pernambuco, 2015)
How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization?
(Springer, 2019-12-01)
Traditional word embeddings approaches, such as bag-of-words models, tackles the problem of text data representation by linking words in a document to a binary vector, marking their occurrence or not. Additionally, a term ...
Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis
(SAGE Publications Ltd, 2019)
© The Author(s) 2018.One of the main challenges that the industry faces when dealing with massive data for failure diagnosis is high dimensionality of such data. This can be tackled by dimensionality reduction method such ...
Comments on ‘Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods'
(2008)
This article presents comments to the document 'Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods'
A restricted boltzmann machine-based approach for robust dimensionality reduction
(2018-01-31)
Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...
Unsupervised Feature Selection Methodology for Clustering in High Dimensionality Datasets
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
On the effectiveness of user manipulation in multidimensional projections
(Sociedade Brasileira de Computação - SBCUniversidade Federal da Bahia - UFBASalvador, 2015-08)
With the advent of interactive techniques for multidimensional data visualization using dimensionality reduction, new possibilities of dealing with data complexity were introduced. The idea behind those methods is to allow ...
Boosted projections and low cost transfer learning applied to smart surveillance
(Universidade Federal de Minas GeraisUFMG, 2018-02-23)
Computer vision is an important area related to understanding the world through images. It can be used in biometrics, by verifying whether a given face is of a certain identity, used to look for crime perpetrators in an ...