Generative noise models with fitting functions and functions to produce confidence intervals.
最近更新: 接近6年前Contains code to reproduce experiments from our 2019 AISTATS paper (https://arxiv.org/abs/1807.07879).
最近更新: 接近6年前Simple face detection using an SVM and HoG features. Data augmentation, k-fold cross-validation, mean IoU, multi-scale detection.
最近更新: 接近6年前ransfer learning, GAN, Semi-supervised learning，CycleGAN
最近更新: 接近6年前Data Augmentation for Building an Ensemble of Convolutional Neural Networks
最近更新: 接近6年前Generative Adversarial Network implemented for the Time-Frequency based Speech Enhancement
最近更新: 接近6年前An automated construction of a denoising autoeconder is presented here. It features an open structure both in the generative phase and in the discriminative phase where input features can be automatically added and discarded on the fly and free of the problem- specific threshold.
最近更新: 接近6年前
