Search Results for author:
Found 7 papers, 5 papers with code
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
A key shortcoming of these supervised learning methods is their need for large training data sets, typically generated from particle models in conjunction with complex numerical forward models simulating the physics of transmission electron microscopes.
Redistributor: Transforming Empirical Data Distributions
We present an algorithm and package, Redistributor, which forces a collection of scalar samples to follow a desired distribution.
Towards Robust Voice Pathology Detection
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression tracking and even effective treatment of pathological voices.
Voice Pathology Detection Using Deep Learning: a Preliminary Study
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN).
Improving Machine Hearing on Limited Data Sets
In this contribution we investigate how input and target representations interplay with the amount of available training data in a music information retrieval setting.
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems
In two supervised learning problems, clinical image segmentation and music information classification, the application of our proposed augmented target loss functions increase the accuracy.
Gabor frames and deep scattering networks in audio processing
By using a simple signal model for audio signals specific properties of Gabor scattering are studied.
