Buscar
Mostrando ítems 21-30 de 292
Sparse Spatial Coding: a novel approach for efficient and accurate object recognition
(Universidade Federal de Minas GeraisUFMG, 2012-03-20)
Successful state-of-the-art object recognition techniques from images have been based on powerful techniques, such as sparse representation, in order to replace the also popular vector quantization approach. Recently, ...
Projection matrix optimization for sparse signals in structured noise
(Institute Of Electrical And Electronics Engineers, 2015-05)
We consider the problem of estimating a signal which has been corrupted with structured noise. When the signal of interest accepts a sparse representation, only a small number of measurements are required to retain all the ...
Second generation sparse models
(2011)
Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a learned dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art ...
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
(Neural Information Processing Systems, 2019)
Mapping structural brain connectomes for living human brains typically requires expert analysis and rule-based models on diffusion-weighted magnetic resonance imaging. A data-driven approach, however, could overcome ...
Complexity-based discrepancy measures applied to detection of apnea-hypopnea events
(John Wiley & Sons Inc, 2018-08)
In recent years, an increasing interest in the development of discriminative methods based on sparse representations with discrete dictionaries for signal classification has been observed. It is still unclear, however, ...
Melhoramento de voz baseado em representações esparsas usando dicionários treinados
(Universidade Estadual Paulista (Unesp), 2020-08-18)
Melhorar sinais de voz degradados por ruídos não-estacionários é uma tarefa importante e de interesse em diversas áreas de pesquisa. Os espectros variantes no tempo de ruídos não-estacionários comprometem o desempenho de ...
Ensemble classification method for structural damage assessment under varying temperature
(SAGE Publications Ltd, 2017)
Vibration-based damage assessment approaches use modal parameters, such as frequency response functions, mode shapes, and natural frequencies, as indicators of structural damage. Nevertheless, these parameters are sensitive ...