When solving noisy linear systems Ax = b + c, the theoretical and empiri...
We introduce a new method based on nonnegative matrix factorization, Neu...
Automatic infectious disease classification from images can facilitate n...
In this paper, we derive a new method for determining shared features of...
Spectral methods offer a tractable, global framework for clustering in g...
We propose new semi-supervised nonnegative matrix factorization (SSNMF)
...
Gossip protocols are popular methods for average consensus problems in
d...
Nonnegative matrix factorization (NMF) has found many applications inclu...
The causes behind complications in laser-assisted tattoo removal are
cur...
Fully unsupervised topic models have found fantastic success in document...
Matrix factorization techniques compute low-rank product approximations ...
We propose several new models for semi-supervised nonnegative matrix
fac...
Often in applications ranging from medical imaging and sensor networks t...
Lyme disease is a rapidly growing illness that remains poorly understood...
There is currently an unprecedented demand for large-scale temporal data...
Stochastic iterative algorithms have gained recent interest in machine
l...
Matrix completion has become an extremely important technique as data
sc...
Machine learning algorithms typically rely on optimization subroutines a...
In applications like medical imaging, error correction, and sensor netwo...
In applications like medical imaging, error correction, and sensor netwo...