We consider the vector embedding problem. are given a finite set of items, with goal assigning representative to each one, possibly under some constraints (such as collection vectors being standardized, i.e., have zero mean and unit covariance). data indicating that pairs items similar, optionally, other dissimilar. For similar we want corresponding be near other, for dissimilar pairs, not meas...

Most of the well-known classic beamformers have resulted from optimization problems that minimize a cost function such as mean-square error (MSE) between noisy speech and reference clean speech. The rationale behind these formulations involves speech-versus-noise dichotomy, where anything branded noise shall be suppressed much possible. While leading to simple closed-form solutions reasonably p...