Search Results for author:
Found 10 papers, 2 papers with code
Deep supervised hashing for fast retrieval of radio image cubes
In this work, we utilize deep hashing to rapidly search for similar images in a large database.
Advances on the classification of radio image cubes
Nonetheless, this is only plausible with the exploitation of intensive machine intelligence to complement human-aided and traditional statistical techniques.
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms
The package is open source and can be installed through PyPI.
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Automated and semi-automated techniques in biomedical electron microscopy (EM) enable the acquisition of large datasets at a high rate.
To remove or not remove Mobile Apps? A data-driven predictive model approach
In turn, our approach can support developers in improving their apps and users in downloading the ones that are less likely to be removed.
Inhibition-augmented ConvNets
The rectified responses of the push and pull filter pairs are then combined by a linear function.
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
In this work we propose a method to identify the source camera of a video based on camera specific noise patterns that we extract from video frames.
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
One of the challenging problems in digital image forensics is the capability to identify images that are captured by the same camera device.
Brain-inspired robust delineation operator
This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture.
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation
The detection of curvilinear structures is an important step for various computer vision applications, ranging from medical image analysis for segmentation of blood vessels, to remote sensing for the identification of roads and rivers, and to biometrics and robotics, among others.
