Now showing items 1-5 of 5
Efficient algorithms for convolutional dictionary learning via accelerated proximal gradient
(Pontificia Universidad Católica del Perú, 2019-04-05)
Convolutional sparse representations and convolutional dictionary learning are mathematical models that consist in representing a whole signal or image as a sum of convolutions between dictionary filters and coefficient ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del Perú, 2019-05-16)
The increasing ubiquity of Convolutional Sparse Representation techniques for several image processing tasks (such as object recognition and classification, as well as image denoising) has recently sparked interest in ...
Deep Learning for Semantic Segmentation versus Classification in Computational Pathology: Application to mitosis analysis in Breast Cancer grading
(Pontificia Universidad Católica del Perú, 2019-04-12)
Existing computational pathology approaches did not allow, yet, the emergence of effective/efficient computer-aided tools used as a second opinion for pathologists in the daily practice. Focusing on the case of computer-based ...
Corn crops identification using multispectral images from unmanned aircraft systems
(Pontificia Universidad Católica del Perú, 2019-04-08)
Climate change and migration of population from rural to urban areas are affecting the agricultural production around the world. This study was based in the particular department of Ancash - Peru where corn is one of the ...
Soft tissue characterization using different quantitative ultrasound modalities
(Pontificia Universidad Católica del Perú, 2019-10-24)
Quantitative ultrasound has been used in several modalities for different experiments such as simulated phantom, physical phantoms, ex vivo and in vivo tissues. The potential of the ultrasound techniques could be useful ...