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Found 6 papers, 1 papers with code
A State-Space Approach to Dynamic Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) has been actively investigated and used in a wide range of problems in the past decade.
Imitation Learning for Vision-based Lane Keeping Assistance
This paper aims to investigate direct imitation learning from human drivers for the task of lane keeping assistance in highway and country roads using grayscale images from a single front view camera.
Road Friction Estimation for Connected Vehicles using Supervised Machine Learning
In this paper, the problem of road friction prediction from a fleet of connected vehicles is investigated.
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
We propose a novel speech enhancement method that is based on a Bayesian formulation of NMF (BNMF).
Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling
This paper presents two single channel speech dereverberation methods to enhance the quality of speech signals that have been recorded in an enclosed space.
Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement
Finally, a noise reduction algorithm is proposed using the derived speech and babble models.
