Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, ...
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Although the linear mean-squared error (MSE) complex-DFT estimator, i.e., the Wiener filter, is well-known, its magnitude-DFT (MDFT) counterpart has never been considered in the ...
Cloud computing has the potential for tremendous benefits, but wide scale adoption has a range of challenges that must be met. We review these challenges and how they relate to sc...