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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 ...
A Reliable Method to Reduce Observations and Variables
(SABER ULA, 2006)
A Reliable Method to Reduce Observations and Variables
(SABER ULA, 2006)
LANGUAGE AND A PHYSICAL ORGANIZATION TECHNIQUE FOR SUMMARY TABLES.
(Proceedings of ACM-SIGMOD 1985 International Conference on Management of Data, 2004)
A summary table is a tabular representation of summary data, and is a useful data structure for statistical databases. Primitive summary tables are basic building blocks of summary tables, and can be represented as relations ...
A language and a physical organization technique for summary tables
(ACM SIGMOD Record, 1985-05-01)
A summary table IS a tabular representation of summary data, and is a useful data structure for statistical databases Priventive summary tables are basic building blocks of summmy tables, and can be represented as relations ...
Adaptation of the closest tree method for a two state quartet to Jukes-Cantor tripod trees
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2023)
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 ...
Processing time reduction: an application in living human high-resolution diffusion magnetic resonance imaging data.
High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome ...
Prototype Selection Methods
(Revista Computación y Sistemas; Vol. 13 No.4, 2010-04-16)
Abstract. In pattern recognition, supervised classifiers assign a class to unseen objects or prototypes. For classifying new prototypes a training set is used which provides information to the classifiers during the training ...
Two-Phase Mapping for Projecting Massive Data Sets
(IEEE COMPUTER SOC, 2010)
Most multidimensional projection techniques rely on distance (dissimilarity) information between data instances to embed high-dimensional data into a visual space. When data are endowed with Cartesian coordinates, an extra ...