We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of searchbased performance optimizatio...
Samuel Williams, Jonathan Carter, Leonid Oliker, J...
Feedback Control for Character Animation Using an Abstract Model Yuting Ye C. Karen Liu Georgia Institute of Technology∗ Real-time adaptation of a motion capture sequence to vir...