Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
High-fidelity simulations with intuitive user interfaces expedite real-world tasks. Augmented Reality (AR), enables 3D computer-generated entities to coexist in users' view o...
Seungjun Kim, Nitaigour-Premchand Mahalik, Anind K...
This paper proposes a bio-inspired approach tailored to the construction of a Grid information system in which content, specifically metadata descriptors that specify the characte...
Agostino Forestiero, Carlo Mastroianni, Giandomeni...
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...