In real world processes in the industry or in business, where the elements involved generate data full of noise and biases, improving the energy efficiency represents one of the ma...
Probabilistic CMOS is considered a promising technology for future generations of computing devices. By embracing possibly incorrect calculations, the technology makes it possible ...
Mark S. K. Lau, Keck Voon Ling, Yun-Chung Chu, Aru...
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
Robert Peharz, Michael Stark, Franz Pernkopf, Yann...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
We address the problem of detecting and locating narrowband tones in an undersampled signal. It is known that uniformly undersampled signals exhibit frequency aliasing, whereby th...