Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Aiming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense ra...
Francesco Bonarrigo, Alberto Signoroni, Riccardo L...
In this paper, we propose a comprehensive study of second-order consistencies (i.e., consistencies identifying inconsistent pairs of values) for constraint satisfaction. We build ...
The Keccak hash function is one of the five finalists in NIST’s SHA-3 competition, and so far it showed remarkable resistance against practical collision finding attacks: Afte...
Application launch performance is of great importance to system platform developers and vendors as it greatly affects the degree of users’ satisfaction. The single most effectiv...
Yongsoo Joo, Junhee Ryu, Sangsoo Park, Kang G. Shi...