This study explores the firm’s readiness for developing emerging technology in e−business. By proposing a framework that captures technological, financial, and human capabilit...
We design algorithms for computing approximately revenue-maximizing sequential postedpricing mechanisms (SPM) in K-unit auctions, in a standard Bayesian model. A seller has K copi...
— This paper examines large partial occlusions in an image, which occur near depth discontinuities when the foreground object is severely out of focus. We model these partial occ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Abstract— A hybrid model was developed to predict the zeroquantized discrete cosine transform (ZQDCT) coefficients for intra blocks in our previous work. However, the complicated...
Jin Li, Weiwei Chen, Moncef Gabbouj, Jarmo Takala,...