Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
The fully scalable motion model (SMM) is proposed for scalable video codec by taking advantage of motion information scalability. In previous work, SMM has been improved to suppor...
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
Enterprise Architecture is a model-based approach to business-oriented IT management. To promote good IT decision making, an Enterprise Architecture framework needs to explicate w...
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...