Buscar
Mostrando ítems 1-10 de 236
A multi-class structured dictionary learning method using discriminant atom selection
(Springer, 2020-11)
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against ...
A Sparse Tensor Decomposition with Multi-Dictionary Learning Applied to Diffusion Brain Imaging
(University of Lisbon, 2017)
We use a multidimensional signal representation that integrates diffusion Magnetic Resonance Imaging (dMRI) and tractography (brain connections) using sparse tensor decomposition. The representation encodes brain connections ...
Learning Shared, Discriminative, and Compact Representations for Visual Recognition
(IEEE, 2015)
Dictionary-based and part-based methods are among the most popular approaches to visual recognition. In both methods, a mid-level representation is built on top of low-level image descriptors and high-level classifiers are ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del PerúPE, 2019)
Efficient algorithms for convolutional dictionary learning via accelerated proximal gradient
(Pontificia Universidad Católica del PerúPE, 2019)
Efficient algorithms for convolutional dictionary learning via accelerated proximal gradient
(Pontificia Universidad Católica del PerúPE, 2019)
LRemoving Dust Artifacts in Retinal Images via Dictionary Learning and Sparse-Based Inpainting
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the field of ophthalmology, retinal images are essential for the diagnosis of many diseases. These images are acquired with a device called the retinal camera. However, often small dust particles in the sensor produce ...
Robust detection and removal of dust artifacts in retinal images via dictionary learning and sparse-based inpainting
(SPIE, 2019)
Retinal images are acquired with eye fundus cameras which, like any other camera, can suffer from dust particles attached to the sensor and lens. These particles impede light from reaching the sensor, and therefore they ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del PerúPE, 2019)