Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
We describe an exact decoding algorithm for syntax-based statistical translation. The approach uses Lagrangian relaxation to decompose the decoding problem into tractable subprobl...
Abstract—Power modeling based on performance monitoring counters (PMCs) has attracted the interest of many researchers since it become a quick approach to understand and analyse ...