We characterize truthful mechanisms in two multi-parameter domains. The first characterization shows that every mechanism for combinatorial auctions with two subadditive bidders t...
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Asian options, basket options and spread options have been extensively studied in literature. However, few papers deal with the problem of pricing general Asian basket spread opti...
In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guiba...
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...