Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Abstract: Mathematically, the autofocusing and imaging model for sparse aperture inverse synthetic aperture radar (ISAR) has an infinite number of solutions, even with the addition of some sparsity ...
Abstract: Efficient factorization of low-rank matrices have become crucially important in modern machine learning applications. In this paper, we present a randomized, rank-revealing QLP algorithm, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results