We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
—Robustness of optimization models for networking problems has been an under-explored area. Yet most existing algorithms for solving robust optimization problems are centralized,...
Kai Yang, Yihong Wu, Jianwei Huang, Xiaodong Wang,...
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment u...
– Future wireless cellular networks such as High Speed Downlink Packet Access (HSDPA) and 1x EVolution Data Optimized (1xEV-DO) promise to revolutionize the mobile user’s wirel...
Bader Al-Manthari, Najah A. Abu Ali, Nidal Nasser,...