Search Results for author:
Found 6 papers, 0 papers with code
Self-supervised Learning for Astronomical Image Classification
In Astronomy, a huge amount of image data is generated daily by photometric surveys, which scan the sky to collect data from stars, galaxies and other celestial objects.
Greenery Segmentation In Urban Images By Deep Learning
Vegetation is a relevant feature in the urban scenery and its awareness can be measured in an image by the Green View Index (GVI).
Deep Learning Multidimensional Projections
We train a deep neural network based on a collection of samples from a given data universe, and their corresponding projections, and next use the network to infer projections of data from the same, or similar, universes.
Symbol detection in online handwritten graphics using Faster R-CNN
Symbol detection techniques in online handwritten graphics (e. g. diagrams and mathematical expressions) consist of methods specifically designed for a single graphic type.
Image operator learning coupled with CNN classification and its application to staff line removal
Many image transformations can be modeled by image operators that are characterized by pixel-wise local functions defined on a finite support window.
A General Framework for the Recognition of Online Handwritten Graphics
We then model the recognition problem as a graph parsing problem: given an input stroke set, we search for a parse tree that represents the best interpretation of the input.
