—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by t...
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of...
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar...
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...