Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Transactional Memory (TM) simplifies parallel programming by allowing for parallel execution of atomic tasks. Thus far, TM systems have focused on implementing transactional stat...
Austen McDonald, JaeWoong Chung, Brian D. Carlstro...
Probabilistic correctness is another important aspect of reliable systems. A soft real-time system, for instance, exhibits probabilistic behaviors from tolerating some degrees of ...
Usa Sammapun, Insup Lee, Oleg Sokolsky, John Regeh...